In this episode of Software People Stories, I speak with Saraswathi, a marketing leader with over 15 years of cross-industry experience,  about the role of marketing in technology—especially how product marketers translate technical ideas into stories customers can understand and care about. We talk about digital communication, customer empathy, product adoption, AI in marketing, useful metrics, and practical career advice for anyone curious about moving into marketing. It is a thoughtful conversation on bridging products, people, and business impact.Among the highlights from this conversation are:<ul><li>Marketing fundamentals stay consistent, but customer pain points differ across industries.</li><li>Digital content must be concise, compelling, and quick to capture attention.</li><li>Audience niches and personalization help messages resonate better.</li><li>Product marketers act as the bridge between product, UX, sales, and customers.</li><li>Training works best when broken into short, accessible, in-product learning moments.</li><li>Email remains effective when segmented and relevant to the audience.</li><li>AI helps with competitive research, brainstorming, mockups, and faster first drafts.</li><li>Brand voice can be protected by giving AI clear style guides, examples, and do’s and don’ts.</li><li>Marketing impact should connect to opportunities, conversions, and revenue—not only vanity metrics.</li><li>Support tickets offer unfiltered customer insight and can shape better messaging and product decisions.</li><li>Career switchers can use transferable skills and start by getting closer to customers.</li><li>Planning, yoga, short walks, and pausing before reacting help Saraswathi stay calm and grounded.</li></ul>﻿Saraswathi Shanth Kumar (Sara) is a marketing leader with over 15 years of cross-industry experience translating complex products into compelling market stories. Her career spans advertising, journalism, SaaS, and Big Tech, leading to her current role at an edtech company in the Bay Area. Sara sees product marketing as the critical translator between product and market — and approaches every challenge with a problem-solver's mindset and a startup's appetite for experimentation. Outside of work, you can find her gardening, practicing yoga, and hiking the many trails in the Bay. My LinkedIn: <a href="http://www.linkedin.com/in/saraskumar" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">http://www.linkedin.com/in/saraskumar</a>

In this episode of Software People Stories, I speak with Saraswathi, a marketing leader with over 15 years of cross-industry experience,  about the role of marketing in technology—especially how product marketers translate technical ideas into stories customers can understand and care about. We talk about digital communication, customer empathy, product adoption, AI in marketing, useful metrics, and practical career advice for anyone curious about moving into marketing. It is a thoughtful conversation on bridging products, people, and business impact.Among the highlights from this conversation are:Marketing fundamentals stay consistent, but customer pain points differ across industries.Digital content must be concise, compelling, and quick to capture attention.Audience niches and personalization help messages resonate better.Product marketers act as the bridge between product, UX, sales, and customers.Training works best when broken into short, accessible, in-product learning moments.Email remains effective when segmented and relevant to the audience.AI helps with competitive research, brainstorming, mockups, and faster first drafts.Brand voice can be protected by giving AI clear style guides, examples, and do’s and don’ts.Marketing impact should connect to opportunities, conversions, and revenue—not only vanity metrics.Support tickets offer unfiltered customer insight and can shape better messaging and product decisions.Career switchers can use transferable skills and start by getting closer to customers.Planning, yoga, short walks, and pausing before reacting help Saraswathi stay calm and grounded.﻿Saraswathi Shanth Kumar (Sara) is a marketing leader with over 15 years of cross-industry experience translating complex products into compelling market stories. Her career spans advertising, journalism, SaaS, and Big Tech, leading to her current role at an edtech company in the Bay Area. Sara sees product marketing as the critical translator between product and market — and approaches every challenge with a problem-solver's mindset and a startup's appetite for experimentation. Outside of work, you can find her gardening, practicing yoga, and hiking the many trails in the Bay.My LinkedIn: http://www.linkedin.com/in/saraskumar

Software People Stories

Making Products Matter with Saraswathi Shant Kumar

My guest today is Chander Sankaran, an ERP and change management Specialist. With a professional background in finance and accounting, he has played many cross-functional roles that bridge the gap between finance and information technology.  In this conversation, Chander talks about<ul><li>Beginning his career in finance and accounting, then entering software through early ERP implementation work in a manufacturing plant in India.</li><li>His move to the U.S. in the late 1990s</li><li>How his accounting and operational background helped him stand out in consulting by giving him stronger context for business requirements.</li><li>Critical factors for smooth go-lives</li><li>The importance of change management for any enterprise technology work </li><li>How factors such as global teams and hybrid work models require flexibility</li><li>The benefits of AI in improving individual productivity</li><li>Some concerns about AI’s environmental footprint and its potential effect on entry-level roles.</li><li>He also shares practical career advice including keeping a resume updated, understanding that everyone is replaceable</li><li>His personal practices for staying grounded</li></ul> Chander S is an ERP Specialist based in Texas, and originally from Chennai, India. With a professional background in finance and accounting, he has played in cross-functional roles that bridge the gap between finance and information technology. Outside of work, Chander enjoys yoga, trekking, and volunteering in his local community. He may be contacted at <a href="https://www.linkedin.com/in/chander-sankaran-9027503/" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://www.linkedin.com/in/chander-sankaran-9027503/</a>

My guest today is Chander Sankaran, an ERP and change management Specialist. With a professional background in finance and accounting, he has played many cross-functional roles that bridge the gap between finance and information technology. In this conversation, Chander talks aboutBeginning his career in finance and accounting, then entering software through early ERP implementation work in a manufacturing plant in India.His move to the U.S. in the late 1990sHow his accounting and operational background helped him stand out in consulting by giving him stronger context for business requirements.Critical factors for smooth go-livesThe importance of change management for any enterprise technology work How factors such as global teams and hybrid work models require flexibilityThe benefits of AI in improving individual productivitySome concerns about AI’s environmental footprint and its potential effect on entry-level roles.He also shares practical career advice including keeping a resume updated, understanding that everyone is replaceableHis personal practices for staying groundedChander S is an ERP Specialist based in Texas, and originally from Chennai, India. With a professional background in finance and accounting, he has played in cross-functional roles that bridge the gap between finance and information technology. Outside of work, Chander enjoys yoga, trekking, and volunteering in his local community.He may be contacted at https://www.linkedin.com/in/chander-sankaran-9027503/

Accounting, ERP and Change management with Chander Sankaran

My guest today is Mathangi Sri Ramachandran, Co-Founder of YuVerse. The conversation included Mathangi ’s early fascination with data-driven decision-making → AI as a force for democratisation → empathy at scale → career choices driven by impact → sustaining a long career as a woman → the ecosystem behind innovation and patents.00:00 – Introduction: A life and career deeply rooted in AIMathangi introduces herself as someone whose “heart and soul” are in AI. She talks about her role as CEO and co-founder of U-verse, a last-mile AI company focused on taking frontier AI models beyond experimentation and applying them to real business workflows and outcomes.01:20 – What does “last-mile AI” really mean?Mathangi explains the gap between powerful frontier models and actual enterprise outcomes. She discusses how AI transformation requires bringing together technology, workflows and the human elements of work—across banking, insurance, real estate, retail and other industries.02:30 – A 20-year journey in data scienceLong before the current generative AI wave, Mathangi was working in data science and analytics. She reflects on the long history of AI and reminds us that data-driven decision-making, machine learning and conversational technologies have been evolving for decades.03:50 – The campus interview that changed her career directionA simple example during a GE campus interview at NIT Trichy—using data to decide where windmills should be located—sparked Mathangi’s interest in scientific, data-driven decision-making. That idea became a defining theme throughout her career.05:00 – Using data to improve decisions at scaleFrom marketing analytics to risk scorecards in financial services, Mathangi saw first-hand how large-scale data could improve enterprise decision-making. She shares her belief that moving from human judgement alone towards data-informed systems can help reduce bias and democratise access.06:30 – Can machines deliver empathy at scale?In one of the most thought-provoking parts of the conversation, Mathangi challenges the assumption that machines cannot be empathetic. Drawing from her experience with conversational AI, she argues that machines can deliver consistent empathy across hundreds or thousands of difficult interactions in ways that are extremely challenging for human agents.07:40 – Why difficult customer conversations can escalateUsing debt collection conversations as an example, Mathangi explains the emotional burden placed on human agents who may handle a hundred difficult calls every day. She demonstrates how quickly a human-to-human interaction can escalate—and how well-designed conversational AI can maintain consistency and bring the emotional temperature down.09:35 – From an idea today to an outcome tomorrowThe arrival of large language models has dramatically shortened the distance between an idea and its implementation. For Mathangi, this makes the current era one of the most exciting times to work in AI.10:55 – What continues to motivate her after two decades?The answer is simple: possibilities. Mathangi talks about her desire to use technology to build a better world by reducing bias, improving decision-making and democratising access to services.11:20 – AI, financial inclusion and a more equitable worldBetter decision-making can enable deeper financial inclusion and expand access to capital. Mathangi connects AI and data science to a larger societal purpose: ensuring that more deserving people can access opportunities without being excluded by individual biases or subjective judgements.12:50 – AI and access to healthcare and emotional supportMathangi explores the possibilities of AI in healthcare and therapy, particularly for people in underserved communities. She imagines a woman in a remote village being able to safely access a culturally aware, local-language AI companion when human support may be unavailable or difficult to approach.14:45 – Why this is the best time to be working in AIIdeas that once took years to reach the market can now move from concept to implementation at extraordinary speed. Mathangi reflects on why she has never enjoyed her work more than she does today.15:55 – Where the rubber meets the road: making AI deliver impactLooking across her career, Mathangi describes her current entrepreneurial journey as particularly impactful because she can not only build AI solutions but also take them directly into enterprises—improving processes such as customer conversations, underwriting and claims processing.17:40 – The AI tailwind and pressure from the boardroomAI adoption is increasingly being driven from the top. Boards are asking organisations what they have done with AI and, importantly, what measurable impact it has created. Mathangi discusses both the opportunities and the risks of this pressure.18:35 – Leadership is hard 95% of the timeMathangi offers a candid perspective on leadership: most days can be difficult and can test your sense of purpose. But the small percentage of moments when you see meaningful impact can make all that difficulty worthwhile.19:15 – Choosing a bigger canvas over compensationThroughout her career, Mathangi has made decisions based on one guiding principle: where can she create the maximum impact? At times, that has meant walking away from significant compensation and lifestyle benefits in exchange for a larger canvas on which to build and contribute.20:55 – A lesson from her mother: “Keep your job”Mathangi shares one of the most important pieces of advice she received from her mother. Through motherhood, travel, guilt and the many pressures women encounter, she remained determined not to compromise on her career.21:40 – Designing life around a career, not a career around everything elseRather than fitting her career around domestic responsibilities, Mathangi says she consciously worked to organise her personal life so that her career could continue. She reflects on the grit required to sustain a career over more than two decades.23:20 – The invisible infrastructure behind a long careerMathangi speaks with gratitude about mentors, organisations and, especially, her family. She explains why support at home is foundational to sustaining a demanding career—and why a headwind at home can be far harder to overcome than challenges at work.25:00 – Staying rooted in Bangalore while building a global careerDespite opportunities to relocate internationally, Mathangi made a conscious decision to keep Bangalore as her family’s home base. Instead of treating that as a limitation, she built her career around the constraint—travelling extensively while remaining rooted in one place.27:00 – The story behind nearly 100 patentsMathangi credits the innovation ecosystem at [24]7.ai for creating the conditions in which patentable ideas could flourish. She discusses why innovation requires more than individual creativity—it also needs organisational encouragement, funding, legal support and processes.28:20 – What makes an idea patent-worthy?Not every mathematically sophisticated model becomes a patent. Mathangi explains that patentable ideas need novelty, meaningful technological application and executability. She reflects on what she learned about innovation, prior art and protecting ideas during her time in an organisation that actively encouraged invention.29:58 – The ecosystem that enables innovationReflecting on Mathangi’s experience of filing nearly 100 patents, the conversation highlights how innovation is rarely an individual effort alone. A supportive organisational ecosystem—including encouragement from the team, financial resources, processes and institutional support—can make a significant difference in turning ideas into protected innovations.31:15 – Career advice for young women: build grit and resilienceMathangi’s first piece of advice is particularly for young women entering the workforce: develop the grit not only to grow, but first to survive and persist. She speaks candidly about the headwinds women can encounter over the course of a career, including societal biases, workplace biases and even self-imposed pressures.31:50 – Why biases can become more visible as women progressMathangi reflects on something she wishes she had understood earlier: biases may become more pronounced as women move into more senior positions. Being aware of this possibility, she says, can help women build the resilience needed to navigate difficult moments without being completely shaken by them.32:55 – “Resilience is the crux of a long career”Her advice is simple and powerful: don’t give up. For women in particular, where the headwinds may be stronger, resilience and the ability to keep going are fundamental to sustaining a long career.33:10 – Advice for AI professionals: start with the problem, not the technologyWhether the technology is AI, LLMs, data science, machine learning or whatever comes next, one thing remains constant: the problem. Mathangi urges technology professionals to develop genuine empathy for the person experiencing the problem they are trying to solve.33:35 – Let the problem guide the solutionRather than starting with a technology and searching for a problem to fit it into, Mathangi advocates the reverse: understand and empathise with a meaningful problem, and then use your skills and technology to solve it. Finding the right problem to work on, she suggests, can shape as much as 90% of a career.34:00 – Exposure, curiosity and finding problems worth solvingFinding meaningful problems requires stepping outside one’s immediate world—speaking with people, seeking different perspectives and actively looking for opportunities to contribute. This mindset is valuable whether someone is just beginning their career or is already a senior executive.34:25 – Ending where the conversation began: empathyThe episode comes full circle. What began as a discussion about empathy in AI ends with empathy as Mathangi’s central piece of career advice: understand the people and problems you are solving for. Alongside grit and resilience, empathy becomes the connecting thread across technology, innovation, leadership and a long career. <h3>Quotable quotes</h3>“Machines can do empathy at scale,” “Give me a handkerchief, I’ll make it into a huge blanket and then paint on it,” “Whatever it is, I’m not going to compromise my career—and I’m unabashedly so.” Brief Bio Mathangi Sri Ramachandran is an accomplished technology leader, data scientist, and AI practitioner with extensive experience in building and scaling data-driven products, platforms, and teams. Over the course of her career, she has worked at the intersection of technology, data, artificial intelligence, and business, helping organisations translate complex technical possibilities into meaningful outcomes.Beyond her professional achievements, Mathangi is passionate about building strong technology communities, mentoring the next generation of professionals, and encouraging more women to grow and thrive in technology and leadership roles. She brings a valuable combination of deep technical expertise, leadership experience, curiosity, and a practical perspective on how technology continues to shape the way we work and build.In this conversation, we explore Mathangi’s journey through the world of technology and data, the experiences and choices that have shaped her career, and the lessons she has gathered along the way. Mathangi can be reached at <a href="https://www.linkedin.com/in/mathangisri/" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://www.linkedin.com/in/mathangisri/</a>

My guest today is Mathangi Sri Ramachandran, Co-Founder of YuVerse. The conversation included Mathangi ’s early fascination with data-driven decision-making → AI as a force for democratisation → empathy at scale → career choices driven by impact → sustaining a long career as a woman → the ecosystem behind innovation and patents.00:00 – Introduction: A life and career deeply rooted in AIMathangi introduces herself as someone whose “heart and soul” are in AI. She talks about her role as CEO and co-founder of U-verse, a last-mile AI company focused on taking frontier AI models beyond experimentation and applying them to real business workflows and outcomes.01:20 – What does “last-mile AI” really mean?Mathangi explains the gap between powerful frontier models and actual enterprise outcomes. She discusses how AI transformation requires bringing together technology, workflows and the human elements of work—across banking, insurance, real estate, retail and other industries.02:30 – A 20-year journey in data scienceLong before the current generative AI wave, Mathangi was working in data science and analytics. She reflects on the long history of AI and reminds us that data-driven decision-making, machine learning and conversational technologies have been evolving for decades.03:50 – The campus interview that changed her career directionA simple example during a GE campus interview at NIT Trichy—using data to decide where windmills should be located—sparked Mathangi’s interest in scientific, data-driven decision-making. That idea became a defining theme throughout her career.05:00 – Using data to improve decisions at scaleFrom marketing analytics to risk scorecards in financial services, Mathangi saw first-hand how large-scale data could improve enterprise decision-making. She shares her belief that moving from human judgement alone towards data-informed systems can help reduce bias and democratise access.06:30 – Can machines deliver empathy at scale?In one of the most thought-provoking parts of the conversation, Mathangi challenges the assumption that machines cannot be empathetic. Drawing from her experience with conversational AI, she argues that machines can deliver consistent empathy across hundreds or thousands of difficult interactions in ways that are extremely challenging for human agents.07:40 – Why difficult customer conversations can escalateUsing debt collection conversations as an example, Mathangi explains the emotional burden placed on human agents who may handle a hundred difficult calls every day. She demonstrates how quickly a human-to-human interaction can escalate—and how well-designed conversational AI can maintain consistency and bring the emotional temperature down.09:35 – From an idea today to an outcome tomorrowThe arrival of large language models has dramatically shortened the distance between an idea and its implementation. For Mathangi, this makes the current era one of the most exciting times to work in AI.10:55 – What continues to motivate her after two decades?The answer is simple: possibilities. Mathangi talks about her desire to use technology to build a better world by reducing bias, improving decision-making and democratising access to services.11:20 – AI, financial inclusion and a more equitable worldBetter decision-making can enable deeper financial inclusion and expand access to capital. Mathangi connects AI and data science to a larger societal purpose: ensuring that more deserving people can access opportunities without being excluded by individual biases or subjective judgements.12:50 – AI and access to healthcare and emotional supportMathangi explores the possibilities of AI in healthcare and therapy, particularly for people in underserved communities. She imagines a woman in a remote village being able to safely access a culturally aware, local-language AI companion when human support may be unavailable or difficult to approach.14:45 – Why this is the best time to be working in AIIdeas that once took years to reach the market can now move from concept to implementation at extraordinary speed. Mathangi reflects on why she has never enjoyed her work more than she does today.15:55 – Where the rubber meets the road: making AI deliver impactLooking across her career, Mathangi describes her current entrepreneurial journey as particularly impactful because she can not only build AI solutions but also take them directly into enterprises—improving processes such as customer conversations, underwriting and claims processing.17:40 – The AI tailwind and pressure from the boardroomAI adoption is increasingly being driven from the top. Boards are asking organisations what they have done with AI and, importantly, what measurable impact it has created. Mathangi discusses both the opportunities and the risks of this pressure.18:35 – Leadership is hard 95% of the timeMathangi offers a candid perspective on leadership: most days can be difficult and can test your sense of purpose. But the small percentage of moments when you see meaningful impact can make all that difficulty worthwhile.19:15 – Choosing a bigger canvas over compensationThroughout her career, Mathangi has made decisions based on one guiding principle: where can she create the maximum impact? At times, that has meant walking away from significant compensation and lifestyle benefits in exchange for a larger canvas on which to build and contribute.20:55 – A lesson from her mother: “Keep your job”Mathangi shares one of the most important pieces of advice she received from her mother. Through motherhood, travel, guilt and the many pressures women encounter, she remained determined not to compromise on her career.21:40 – Designing life around a career, not a career around everything elseRather than fitting her career around domestic responsibilities, Mathangi says she consciously worked to organise her personal life so that her career could continue. She reflects on the grit required to sustain a career over more than two decades.23:20 – The invisible infrastructure behind a long careerMathangi speaks with gratitude about mentors, organisations and, especially, her family. She explains why support at home is foundational to sustaining a demanding career—and why a headwind at home can be far harder to overcome than challenges at work.25:00 – Staying rooted in Bangalore while building a global careerDespite opportunities to relocate internationally, Mathangi made a conscious decision to keep Bangalore as her family’s home base. Instead of treating that as a limitation, she built her career around the constraint—travelling extensively while remaining rooted in one place.27:00 – The story behind nearly 100 patentsMathangi credits the innovation ecosystem at [24]7.ai for creating the conditions in which patentable ideas could flourish. She discusses why innovation requires more than individual creativity—it also needs organisational encouragement, funding, legal support and processes.28:20 – What makes an idea patent-worthy?Not every mathematically sophisticated model becomes a patent. Mathangi explains that patentable ideas need novelty, meaningful technological application and executability. She reflects on what she learned about innovation, prior art and protecting ideas during her time in an organisation that actively encouraged invention.29:58 – The ecosystem that enables innovationReflecting on Mathangi’s experience of filing nearly 100 patents, the conversation highlights how innovation is rarely an individual effort alone. A supportive organisational ecosystem—including encouragement from the team, financial resources, processes and institutional support—can make a significant difference in turning ideas into protected innovations.31:15 – Career advice for young women: build grit and resilienceMathangi’s first piece of advice is particularly for young women entering the workforce: develop the grit not only to grow, but first to survive and persist. She speaks candidly about the headwinds women can encounter over the course of a career, including societal biases, workplace biases and even self-imposed pressures.31:50 – Why biases can become more visible as women progressMathangi reflects on something she wishes she had understood earlier: biases may become more pronounced as women move into more senior positions. Being aware of this possibility, she says, can help women build the resilience needed to navigate difficult moments without being completely shaken by them.32:55 – “Resilience is the crux of a long career”Her advice is simple and powerful: don’t give up. For women in particular, where the headwinds may be stronger, resilience and the ability to keep going are fundamental to sustaining a long career.33:10 – Advice for AI professionals: start with the problem, not the technologyWhether the technology is AI, LLMs, data science, machine learning or whatever comes next, one thing remains constant: the problem. Mathangi urges technology professionals to develop genuine empathy for the person experiencing the problem they are trying to solve.33:35 – Let the problem guide the solutionRather than starting with a technology and searching for a problem to fit it into, Mathangi advocates the reverse: understand and empathise with a meaningful problem, and then use your skills and technology to solve it. Finding the right problem to work on, she suggests, can shape as much as 90% of a career.34:00 – Exposure, curiosity and finding problems worth solvingFinding meaningful problems requires stepping outside one’s immediate world—speaking with people, seeking different perspectives and actively looking for opportunities to contribute. This mindset is valuable whether someone is just beginning their career or is already a senior executive.34:25 – Ending where the conversation began: empathyThe episode comes full circle. What began as a discussion about empathy in AI ends with empathy as Mathangi’s central piece of career advice: understand the people and problems you are solving for. Alongside grit and resilience, empathy becomes the connecting thread across technology, innovation, leadership and a long career.Quotable quotes“Machines can do empathy at scale,” “Give me a handkerchief, I’ll make it into a huge blanket and then paint on it,” “Whatever it is, I’m not going to compromise my career—and I’m unabashedly so.”Brief BioMathangi Sri Ramachandran is an accomplished technology leader, data scientist, and AI practitioner with extensive experience in building and scaling data-driven products, platforms, and teams. Over the course of her career, she has worked at the intersection of technology, data, artificial intelligence, and business, helping organisations translate complex technical possibilities into meaningful outcomes.Beyond her professional achievements, Mathangi is passionate about building strong technology communities, mentoring the next generation of professionals, and encouraging more women to grow and thrive in technology and leadership roles. She brings a valuable combination of deep technical expertise, leadership experience, curiosity, and a practical perspective on how technology continues to shape the way we work and build.In this conversation, we explore Mathangi’s journey through the world of technology and data, the experiences and choices that have shaped her career, and the lessons she has gathered along the way.Mathangi can be reached at https://www.linkedin.com/in/mathangisri/ 

An Idea Today, an Outcome Tomorrow with Mathangi Sri Ramachandran

My guest today is Sree Krishna Kumaraswamy, known more popularly as Krishna, a data and analytics leader with over 20 years of experience spanning consulting and large enterprise technology companies In this conversation, Krishna <ul><li>traces his journey from growing up in Chennai with an expected engineering path to discovering mathematics and statistics through the Indian Statistical Institute</li><li>Talks about his early work in applied statistics and computer vision,applying concepts of  machine learning before “data science” became a mainstream term.</li><li>Describes how Carnegie Mellon’s Knowledge Discovery and Data Mining program deepened his exposure to algorithms, natural language processing, unstructured data, and the business applications of predictive modeling.</li><li>Emphasizes that generative AI is powerful but costly, and the need to use it thoughtfully</li><li>Stresses that responsibility for ethical data use is shared across organizations, including data scientists, engineers, governance teams, risk leaders, executives, and users.</li><li>Touches on data poisoning, cyber threats, and the growing need for systems that can detect fast-moving patterns without overreacting to every small data change.</li><li>His career advice for those aspiring to enter or switch to data science roles</li><li>Shares his grounding principle is the “so what, who cares?” test: work on problems that matter to someone, find partners who care about the outcome, and focus on impact rather than technology for its own sake.</li></ul> Krishna is a data and analytics leader with over 20 years of experience spanning consulting and large enterprise technology companies. With an academic background in statistics and machine learning, he has spent his career turning data and AI into tools that help businesses make better decisions.Most recently, he led data and AI product teams at Salesforce, where he built self-serve analytics and AI tools used by tens of thousands of employees, and predictive systems that helped the company better serve its customers. Throughout his career, he has focused on bridging the gap between technical teams and business needs, bringing a product mindset to data science and AI.He lives in the San Francisco Bay Area with his wife and two kids.His profile : <a href="https://www.linkedin.com/in/kkumaraswamy/" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://www.linkedin.com/in/kkumaraswamy/</a>

My guest today is Sree Krishna Kumaraswamy, known more popularly as Krishna, a data and analytics leader with over 20 years of experience spanning consulting and large enterprise technology companiesIn this conversation, Krishna traces his journey from growing up in Chennai with an expected engineering path to discovering mathematics and statistics through the Indian Statistical InstituteTalks about his early work in applied statistics and computer vision,applying concepts of  machine learning before “data science” became a mainstream term.Describes how Carnegie Mellon’s Knowledge Discovery and Data Mining program deepened his exposure to algorithms, natural language processing, unstructured data, and the business applications of predictive modeling.Emphasizes that generative AI is powerful but costly, and the need to use it thoughtfullyStresses that responsibility for ethical data use is shared across organizations, including data scientists, engineers, governance teams, risk leaders, executives, and users.Touches on data poisoning, cyber threats, and the growing need for systems that can detect fast-moving patterns without overreacting to every small data change.His career advice for those aspiring to enter or switch to data science rolesShares his grounding principle is the “so what, who cares?” test: work on problems that matter to someone, find partners who care about the outcome, and focus on impact rather than technology for its own sake.Krishna is a data and analytics leader with over 20 years of experience spanning consulting and large enterprise technology companies. With an academic background in statistics and machine learning, he has spent his career turning data and AI into tools that help businesses make better decisions.Most recently, he led data and AI product teams at Salesforce, where he built self-serve analytics and AI tools used by tens of thousands of employees, and predictive systems that helped the company better serve its customers. Throughout his career, he has focused on bridging the gap between technical teams and business needs, bringing a product mindset to data science and AI.He lives in the San Francisco Bay Area with his wife and two kids.His profile : https://www.linkedin.com/in/kkumaraswamy/

Enabling Better Decisions Through Data with Sree Krishna Kumaraswamy

My guest today is Elangovan Shanmugam,  a seasoned software professional with over 30 years of experience. Among the multiple roles Elangovan has played are Distinguished Engineer, Director of Engineering, leading strategic AI transformation initiatives in a large organization. In this conversation Elangovan:<ul><li>Traces his journey from FoxPro and 4MB RAM days to AI engineering</li><li>Shares how software evolved from standalone systems to connected business ecosystems.</li><li>A major theme is that the problem often stays the same, but the solution changes.</li><li>Elangovan describes AI agents as digital humans that help people interact naturally with systems.</li><li>He explains that in software patents, the method of solving a problem can be patentable.</li><li>His advice for professionals: embrace AI, keep evolving, and don’t stay in a comfort zone.</li></ul> Elangovan Shanmugam is a seasoned software professional with over 30 years of experience. He has held multiple roles—Distinguished Engineer, Director of Engineering, and now leading strategic AI transformation initiatives. Most recently, he led a 40-person organization through a fundamental shift: teaching traditional engineering teams to think and operate as AI engineering organizations. He has worked at the intersection of deep technical architecture and enterprise leadership—helping CTOs and organizations figure out what changes when AI becomes native to how you build. He also has the distinction of receiving multiple innovation awards and has over 20 patents issued to his credit!He is super passionate about solving tough problems for customers! He may be reached at: elangovan.shanmugam @ gmail.com

My guest today is Elangovan Shanmugam,  a seasoned software professional with over 30 years of experience. Among the multiple roles Elangovan has played are Distinguished Engineer, Director of Engineering, leading strategic AI transformation initiatives in a large organization.In this conversation Elangovan:Traces his journey from FoxPro and 4MB RAM days to AI engineeringShares how software evolved from standalone systems to connected business ecosystems.A major theme is that the problem often stays the same, but the solution changes.Elangovan describes AI agents as digital humans that help people interact naturally with systems.He explains that in software patents, the method of solving a problem can be patentable.His advice for professionals: embrace AI, keep evolving, and don’t stay in a comfort zone.Elangovan Shanmugam is a seasoned software professional with over 30 years of experience. He has held multiple roles—Distinguished Engineer, Director of Engineering, and now leading strategic AI transformation initiatives. Most recently, he led a 40-person organization through a fundamental shift: teaching traditional engineering teams to think and operate as AI engineering organizations. He has worked at the intersection of deep technical architecture and enterprise leadership—helping CTOs and organizations figure out what changes when AI becomes native to how you build. He also has the distinction of receiving multiple innovation awards and has over 20 patents issued to his credit!He is super passionate about solving tough problems for customers!He may be reached at: elangovan.shanmugam @ gmail.com 

AI, Integration, and Innovation with Elangovan Shanmugam

In this episode of Software People Stories, Gayatri Kalyanaraman speaks with Indra Vidyaprakash, Vice President | Workday Chennai Site Leader, for a conversation spanning three decades of technology evolution. From her early fascination with programming in Coimbatore and her journey through Cornell University, Oracle, and Silicon Valley, to returning to Chennai to establish and scale Workday's India presence, Indira shares lessons learned across every major technology shift—from the internet era and enterprise software revolution to today's AI-driven future.The conversation explores product management, customer-centric innovation, leadership, mentorship, women in technology, startup investing, and the importance of staying curious in a rapidly changing world. Through stories of reinvention, growth, and building high-performing teams, Indira offers valuable insights for technology professionals, aspiring leaders, and lifelong learners navigating their own careersTimestamped Show Notes<h3>00:00 – Welcome to Software People Stories</h3>Gayatri introduces Indra Vidyaprakash, Site Leader at Workday India and a technology leader whose career spans Oracle, Workday, product management, and organizational leadership.<h3>00:44 – The Atari That Started It All</h3>Indra reflects on her childhood in Coimbatore and how an Atari gaming console sparked her fascination with logic, programming, and problem-solving. Long before technology became a career, it had already become a passion.<h3>02:19 – PSG Tech, Family Legacy, and the Pursuit of Learning</h3>A discussion about growing up in Coimbatore, studying Computer Science at PSG Tech, the influence of her grandfather J.R. Damodaran, and the importance of education and lifelong learning.<h3>04:00 – HCL, Cornell, and the American Dream</h3>Indra shares her journey from HCL Technologies in Chennai to pursuing a Master's degree at Cornell University, experiencing a new educational culture, and entering the world of advanced computing.<h3>06:30 – Landing in Silicon Valley During the Oracle Era</h3>What it was like to join Oracle in 1997 and witness the rise of enterprise software, internet adoption, and the dot-com boom from the heart of Silicon Valley.<h3>08:10 – Why Engineering Alone Wasn't Enough</h3>After nearly a decade as a software engineer, Indra found herself asking an important question: "Who is actually using what I'm building?" That question ultimately led her toward product management.<h3>10:45 – Reinventing Herself Through Product Management</h3>Indra discusses taking a career break, exploring an MBA, learning new business skills, and ultimately transitioning into product management through curiosity and self-discovery rather than a predefined career plan.<h3>14:08 – Learning Design Thinking Before It Became a Buzzword</h3>How customer empathy, usability testing, user-centered design, and direct customer interaction became foundational to her product leadership approach.<h3>16:00 – The Magic of Product Conferences</h3>Indra reflects on Oracle OpenWorld, customer interactions, product demonstrations, analyst briefings, and how conferences became one of her favorite aspects of product management.<h3>18:38 – Moving from Oracle to Workday</h3>A story about relationships, professional networks, and following trusted colleagues into a new opportunity that would shape the next decade of her career.<h3>20:30 – Why Culture Matters</h3>Indra explains how Workday's employee-centric culture, customer focus, and collaborative environment became major factors in her decision to join the company.<h3>22:17 – Entering the World of HR Technology</h3>The challenges and opportunities of moving into HR and Financial ERP systems, understanding customer trust, compliance, security, and building enterprise software at scale.<h3>26:00 – NEYTHRI and Supporting Women Leaders</h3>Indra discusses joining NEYTHRI, a professional network for South Asian women leaders, and how community-building eventually led her to participate as an investor in NEYTHRI’s venture fund.<h3>28:45 – Why Representation Matters</h3>A conversation about women entrepreneurs, access to capital, and the importance of creating opportunities for women founders and leaders.<h3>30:00 – Returning Home After Three Decades</h3>After nearly 30 years in the United States, Indra shares the story behind her decision to return to Chennai and lead the establishment of Workday's India operations.<h3>32:00 – Building Workday Chennai</h3>How Workday selected Chennai, what it takes to build a new technology center from the ground up, and why creating culture is just as important as creating infrastructure.<h3>34:00 – Scaling Talent and Building Future Leaders</h3>Indra discusses mentoring, leadership development, gender diversity, and the excitement of working with AI-native graduates entering the workforce today.<h3>36:30 – Product Innovation, AI, and Learning Through Experimentation</h3>Lessons from introducing chatbot technology years before today's Generative AI wave, balancing innovation with customer trust, and the importance of thoughtful experimentation.<h3>39:00 – The Importance of Small Experiments</h3>Why successful innovation often begins with a small group of trusted customers, rapid feedback loops, and disciplined iteration.<h3>42:00 – The Most Important Leadership Trait: Growth Mindset</h3>Indra reflects on the influence of lifelong learning, adaptability, and why curiosity has remained her greatest career advantage.<h3>44:00 – AI, Accessibility, and India's Digital Leap</h3>A fascinating discussion on how AI is democratizing access to knowledge, enabling multilingual interaction, and creating opportunities across diverse communities.<h3>46:00 – Human Connections Still Matter</h3>Despite advances in AI, Indra emphasizes that relationships, collaboration, trust, and empathy remain the foundations of meaningful work and leadership.<h3>48:00 – Final Advice: Stay Curious</h3>Indra closes the episode with her advice for the next generation: continue learning, embrace change, remain curious, and never lose sight of the human element behind technology. <a href="https://www.linkedin.com/in/indiravidyaprakash/" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://www.linkedin.com/in/indiravidyaprakash/</a>

In this episode of Software People Stories, Gayatri Kalyanaraman speaks with Indra Vidyaprakash, Vice President | Workday Chennai Site Leader, for a conversation spanning three decades of technology evolution. From her early fascination with programming in Coimbatore and her journey through Cornell University, Oracle, and Silicon Valley, to returning to Chennai to establish and scale Workday's India presence, Indira shares lessons learned across every major technology shift—from the internet era and enterprise software revolution to today's AI-driven future.The conversation explores product management, customer-centric innovation, leadership, mentorship, women in technology, startup investing, and the importance of staying curious in a rapidly changing world. Through stories of reinvention, growth, and building high-performing teams, Indira offers valuable insights for technology professionals, aspiring leaders, and lifelong learners navigating their own careersTimestamped Show Notes00:00 – Welcome to Software People StoriesGayatri introduces Indra Vidyaprakash, Site Leader at Workday India and a technology leader whose career spans Oracle, Workday, product management, and organizational leadership.00:44 – The Atari That Started It AllIndra reflects on her childhood in Coimbatore and how an Atari gaming console sparked her fascination with logic, programming, and problem-solving. Long before technology became a career, it had already become a passion.02:19 – PSG Tech, Family Legacy, and the Pursuit of LearningA discussion about growing up in Coimbatore, studying Computer Science at PSG Tech, the influence of her grandfather J.R. Damodaran, and the importance of education and lifelong learning.04:00 – HCL, Cornell, and the American DreamIndra shares her journey from HCL Technologies in Chennai to pursuing a Master's degree at Cornell University, experiencing a new educational culture, and entering the world of advanced computing.06:30 – Landing in Silicon Valley During the Oracle EraWhat it was like to join Oracle in 1997 and witness the rise of enterprise software, internet adoption, and the dot-com boom from the heart of Silicon Valley.08:10 – Why Engineering Alone Wasn't EnoughAfter nearly a decade as a software engineer, Indra found herself asking an important question: "Who is actually using what I'm building?" That question ultimately led her toward product management.10:45 – Reinventing Herself Through Product ManagementIndra discusses taking a career break, exploring an MBA, learning new business skills, and ultimately transitioning into product management through curiosity and self-discovery rather than a predefined career plan.14:08 – Learning Design Thinking Before It Became a BuzzwordHow customer empathy, usability testing, user-centered design, and direct customer interaction became foundational to her product leadership approach.16:00 – The Magic of Product ConferencesIndra reflects on Oracle OpenWorld, customer interactions, product demonstrations, analyst briefings, and how conferences became one of her favorite aspects of product management.18:38 – Moving from Oracle to WorkdayA story about relationships, professional networks, and following trusted colleagues into a new opportunity that would shape the next decade of her career.20:30 – Why Culture MattersIndra explains how Workday's employee-centric culture, customer focus, and collaborative environment became major factors in her decision to join the company.22:17 – Entering the World of HR TechnologyThe challenges and opportunities of moving into HR and Financial ERP systems, understanding customer trust, compliance, security, and building enterprise software at scale.26:00 – NEYTHRI and Supporting Women LeadersIndra discusses joining NEYTHRI, a professional network for South Asian women leaders, and how community-building eventually led her to participate as an investor in NEYTHRI’s venture fund.28:45 – Why Representation MattersA conversation about women entrepreneurs, access to capital, and the importance of creating opportunities for women founders and leaders.30:00 – Returning Home After Three DecadesAfter nearly 30 years in the United States, Indra shares the story behind her decision to return to Chennai and lead the establishment of Workday's India operations.32:00 – Building Workday ChennaiHow Workday selected Chennai, what it takes to build a new technology center from the ground up, and why creating culture is just as important as creating infrastructure.34:00 – Scaling Talent and Building Future LeadersIndra discusses mentoring, leadership development, gender diversity, and the excitement of working with AI-native graduates entering the workforce today.36:30 – Product Innovation, AI, and Learning Through ExperimentationLessons from introducing chatbot technology years before today's Generative AI wave, balancing innovation with customer trust, and the importance of thoughtful experimentation.39:00 – The Importance of Small ExperimentsWhy successful innovation often begins with a small group of trusted customers, rapid feedback loops, and disciplined iteration.42:00 – The Most Important Leadership Trait: Growth MindsetIndra reflects on the influence of lifelong learning, adaptability, and why curiosity has remained her greatest career advantage.44:00 – AI, Accessibility, and India's Digital LeapA fascinating discussion on how AI is democratizing access to knowledge, enabling multilingual interaction, and creating opportunities across diverse communities.46:00 – Human Connections Still MatterDespite advances in AI, Indra emphasizes that relationships, collaboration, trust, and empathy remain the foundations of meaningful work and leadership.48:00 – Final Advice: Stay CuriousIndra closes the episode with her advice for the next generation: continue learning, embrace change, remain curious, and never lose sight of the human element behind technology.https://www.linkedin.com/in/indiravidyaprakash/ 

Leading Through Every Technology Wave with Indira vidyaprakash

My guest today is Ian Hogg, the Chairman of SolvedBy.ai, an applied AI company helping SaaS vendors embed enterprise-grade forecasting, demand and decision intelligence directly into their platforms. In this conversation,<ul><li>Ian shares his background, from the Royal Navy and Xerox to building early web businesses, a SaaS platform, and an AI-focused company.</li><li>He describes how his SaaS business began by solving his own operational problem and then expanded when others in the industry recognized the same need.</li><li>He shares how, In enterprise AI,  one needs to  distinguish decision-support and forecasting systems from generative AI</li><li>Ian highlights that AI adoption in organizations depends heavily on leadership behavior</li><li>The conversation also covers mindset barriers, the empowerment of non-technical users, and the need to build confidence through hands-on experimentation rather than waiting for formal permission or perfect readiness.</li><li>On branding and customer acceptance, Ian explains that people may resist AI if it feels like replacement, but respond more positively when it is framed as assistive and human-in-the-loop.</li><li>He shares career advice for both newcomers and mid-career professionals</li><li>In closing, he shares aspects that help him stay grounded </li></ul> Ian Hogg is Chairman of SolvedBy.ai, an applied AI company helping SaaS vendors embed enterprise-grade forecasting, demand and decision intelligence directly into their platforms.He has spent his career building, scaling and investing in software businesses, with a particular focus on workforce management, SaaS partnerships and AI-driven operational optimisation.Ian is a strong voice on the “SaaS apocalypse” — the idea that AI will expose weak, seat-based SaaS models while creating huge opportunities for vendors that own deep workflow, data and distribution.At SolvedBy.ai, he is focused on helping SaaS companies add the AI layer their customers now expect, without needing to build specialist AI engines from scratch. Ian may be reached at:<a href="https://x.com/ianhogg88" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://x.com/ianhogg88</a><a href="https://www.linkedin.com/in/ianhoggworktechgroup/" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://www.linkedin.com/in/ianhoggworktechgroup/</a><a href="https://solvedby.ai/" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://solvedby.ai/</a>

My guest today is Ian Hogg, the Chairman of SolvedBy.ai, an applied AI company helping SaaS vendors embed enterprise-grade forecasting, demand and decision intelligence directly into their platforms. In this conversation,Ian shares his background, from the Royal Navy and Xerox to building early web businesses, a SaaS platform, and an AI-focused company.He describes how his SaaS business began by solving his own operational problem and then expanded when others in the industry recognized the same need.He shares how, In enterprise AI,  one needs to  distinguish decision-support and forecasting systems from generative AIIan highlights that AI adoption in organizations depends heavily on leadership behaviorThe conversation also covers mindset barriers, the empowerment of non-technical users, and the need to build confidence through hands-on experimentation rather than waiting for formal permission or perfect readiness.On branding and customer acceptance, Ian explains that people may resist AI if it feels like replacement, but respond more positively when it is framed as assistive and human-in-the-loop.He shares career advice for both newcomers and mid-career professionalsIn closing, he shares aspects that help him stay grounded Ian Hogg is Chairman of SolvedBy.ai, an applied AI company helping SaaS vendors embed enterprise-grade forecasting, demand and decision intelligence directly into their platforms.He has spent his career building, scaling and investing in software businesses, with a particular focus on workforce management, SaaS partnerships and AI-driven operational optimisation.Ian is a strong voice on the “SaaS apocalypse” — the idea that AI will expose weak, seat-based SaaS models while creating huge opportunities for vendors that own deep workflow, data and distribution.At SolvedBy.ai, he is focused on helping SaaS companies add the AI layer their customers now expect, without needing to build specialist AI engines from scratch.Ian may be reached at:https://x.com/ianhogg88https://www.linkedin.com/in/ianhoggworktechgroup/https://solvedby.ai/

From Navy to SaaS to AI with Ian Hogg

In this episode of Software People Stories, Gayatri Kalyanaraman sits down with Rajshri Kidambi, CEO of Radus Software LLC, for an inspiring and deeply personal conversation. Rajshri shares her journey from arriving in the United States as an H4 dependent to building a successful software company serving federal agencies for over two decades. Together, they discuss entrepreneurship, motherhood, Agile transformation, government technology, resilience, AI, and the power of taking calculated risks. A thoughtful conversation about leadership, growth, and creating impact that lasts. <h2>Timestamped Show Notes</h2><h3>00:00 – Welcome to Software People Stories - Gayatri introduces Rajshri Kidambi, CEO of Radus Software LLC, and sets the stage for a conversation spanning technology, entrepreneurship, leadership, and life.</h3><h3>00:57 – From Electronics Engineering to Software Development. Rajshri shares her early journey—from studying Electronics & Telecommunications Engineering in India to arriving in the U.S. on an H4 visa and transitioning into software development during the tech talent boom of the 1990s.</h3><h3>02:38 – The Birth of Radus Software. After nearly a decade at CACI Federal, Rajshri realized she could build a company of her own. She discusses the decision to launch Radus Software and the motivation behind becoming an entrepreneur.</h3><h3>05:43 – Discovering a Passion Beyond Programming. Moving from coding to customer interactions, Rajshri explains how becoming a subject matter expert and presenting software solutions to military stakeholders revealed her aptitude for business development and sales.</h3><h3>07:18 – Overcoming Language and Confidence Barriers. Growing up in a Kannada-medium school, Rajshri initially struggled with confidence in professional communication. She shares how experience helped her overcome those challenges.</h3><h3>09:11 – The Turning Point: Why She Started Her Own Company. Rajshri discusses seeing the value she created for her employer, understanding government contracting economics, and making the leap into entrepreneurship while raising young twins.</h3><h3>11:28 – Motherhood, Career Pivots, and Personal Choices. An honest discussion on balancing career ambitions with family priorities, and why every woman's professional journey follows a different path.</h3><h3>14:49 – Wearing Every Hat in a Startup. Rajshri reflects on the early years of Radus Software, where she managed accounting, invoicing, operations, contracts, and business development while learning entrepreneurship from the ground up.</h3><h3>17:31 – Building Software for the U.S. Federal Government. Rajshri discusses her work across agencies including the Department of Defense, FAA, GSA, and NNSA, and explains how government technology modernization differs from the commercial sector.</h3><h3>19:19 – Digital Transformation, Data Governance & <a href="http://sam.gov" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">SAM.gov</a>. A look into large-scale government modernization initiatives, Agile adoption, business process automation, and the evolution of digital government platforms.</h3><h3>22:48 – Agile, SAFE Frameworks, and Government Transformation. Gayatri and Rajshri compare experiences implementing Agile practices in government organizations and discuss the challenges of cultural transformation.</h3><h3>26:01 – Working with Multiple Vendors on Large Government Programs. Rajshri explains the realities of delivering federal programs alongside large consulting firms, balancing collaboration, competition, and customer expectations.</h3><h3>37:19 – Building Credibility as a Small Business. The journey from subcontractor to trusted prime contractor and the importance of past performance, reputation, and persistence in federal procurement.</h3><h3>38:45 – The Highs of a 25-Year Entrepreneurial Journey. Rajshri shares one of her proudest moments—co-presenting with SAFE creator Dean Leffingwell and showcasing Radus Software's Agile product innovation.</h3><h3>41:18 – The Lowest Point: Losing a Contract She Loved A deeply personal reflection on losing a major FAA contract after years of investment and how family support and lessons from the Bhagavad Gita helped her recover.</h3><h3>45:06 – The One CEO Responsibility She Will Never Delegate. Why customer relationships remain the foundation of business growth and long-term success.</h3><h3>47:15 – Looking Ahead: AI, Automation, and Agentic Systems. Rajshri discusses the future of AI, how tools like ChatGPT and Gemini are already changing the way people work, and the importance of governance and guardrails.</h3><h3>50:52 – Human Intelligence in an AI-Powered World. A conversation about preserving critical thinking while embracing AI-assisted productivity.</h3>53:30 – Final Advice for Aspiring Entrepreneurs. Rajshri's closing message: take calculated risks, build something you care about, stay resilient, and enjoy the journey.<h3>55:44 – Closing Remarks. Gayatri wraps up the conversation and thanks Rajshri for sharing her story and insights.</h3> <h3>Memorable Quotes</h3>"If I can do it, anybody can do it.""Take calculated risks.""Relationships are what give you business.""You should be passionate, but not too attached to the outcome.""The future belongs to people who can work with AI, not compete against it." (paraphrased from discussion) Rajashri (“Raj”) Sankavaram, CEO Radus Software LLC, is the driving force behind the company’s culture of excellence, integrity, and continuous innovation. With a strong background in quality management, program delivery, and organizational leadership, she has built Radus into a trusted federal and commercial partner known for precision, transparency, and reliability. Raj is the evangelist behind the creation of Metronome Orchestrated Agile®️, the company’s flagship platform that unites human-centric design, compliance automation, and AI-assisted orchestration to simplify complex software delivery. Under her leadership, Radus has achieved recognition for its federal contracting excellence, delivering mission-critical solutions for agencies such as the IRS, FAA, NNSA, and DHA. Her emphasis on collaboration, mentorship, and quality-driven growth continues to shape Radus as a company that not only delivers outcomes but also builds enduring relationships grounded in trust and accountability. can be contacted at <a href="https://www.linkedin.com/in/raj-sankavaram-0947427/" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://www.linkedin.com/in/raj-sankavaram-0947427/</a>

In this episode of Software People Stories, Gayatri Kalyanaraman sits down with Rajshri Kidambi, CEO of Radus Software LLC, for an inspiring and deeply personal conversation. Rajshri shares her journey from arriving in the United States as an H4 dependent to building a successful software company serving federal agencies for over two decades. Together, they discuss entrepreneurship, motherhood, Agile transformation, government technology, resilience, AI, and the power of taking calculated risks. A thoughtful conversation about leadership, growth, and creating impact that lasts.Timestamped Show Notes00:00 – Welcome to Software People Stories - Gayatri introduces Rajshri Kidambi, CEO of Radus Software LLC, and sets the stage for a conversation spanning technology, entrepreneurship, leadership, and life.00:57 – From Electronics Engineering to Software Development. Rajshri shares her early journey—from studying Electronics & Telecommunications Engineering in India to arriving in the U.S. on an H4 visa and transitioning into software development during the tech talent boom of the 1990s.02:38 – The Birth of Radus Software. After nearly a decade at CACI Federal, Rajshri realized she could build a company of her own. She discusses the decision to launch Radus Software and the motivation behind becoming an entrepreneur.05:43 – Discovering a Passion Beyond Programming. Moving from coding to customer interactions, Rajshri explains how becoming a subject matter expert and presenting software solutions to military stakeholders revealed her aptitude for business development and sales.07:18 – Overcoming Language and Confidence Barriers. Growing up in a Kannada-medium school, Rajshri initially struggled with confidence in professional communication. She shares how experience helped her overcome those challenges.09:11 – The Turning Point: Why She Started Her Own Company. Rajshri discusses seeing the value she created for her employer, understanding government contracting economics, and making the leap into entrepreneurship while raising young twins.11:28 – Motherhood, Career Pivots, and Personal Choices. An honest discussion on balancing career ambitions with family priorities, and why every woman's professional journey follows a different path.14:49 – Wearing Every Hat in a Startup. Rajshri reflects on the early years of Radus Software, where she managed accounting, invoicing, operations, contracts, and business development while learning entrepreneurship from the ground up.17:31 – Building Software for the U.S. Federal Government. Rajshri discusses her work across agencies including the Department of Defense, FAA, GSA, and NNSA, and explains how government technology modernization differs from the commercial sector.19:19 – Digital Transformation, Data Governance & SAM.gov. A look into large-scale government modernization initiatives, Agile adoption, business process automation, and the evolution of digital government platforms.22:48 – Agile, SAFE Frameworks, and Government Transformation. Gayatri and Rajshri compare experiences implementing Agile practices in government organizations and discuss the challenges of cultural transformation.26:01 – Working with Multiple Vendors on Large Government Programs. Rajshri explains the realities of delivering federal programs alongside large consulting firms, balancing collaboration, competition, and customer expectations.37:19 – Building Credibility as a Small Business. The journey from subcontractor to trusted prime contractor and the importance of past performance, reputation, and persistence in federal procurement.38:45 – The Highs of a 25-Year Entrepreneurial Journey. Rajshri shares one of her proudest moments—co-presenting with SAFE creator Dean Leffingwell and showcasing Radus Software's Agile product innovation.41:18 – The Lowest Point: Losing a Contract She Loved A deeply personal reflection on losing a major FAA contract after years of investment and how family support and lessons from the Bhagavad Gita helped her recover.45:06 – The One CEO Responsibility She Will Never Delegate. Why customer relationships remain the foundation of business growth and long-term success.47:15 – Looking Ahead: AI, Automation, and Agentic Systems. Rajshri discusses the future of AI, how tools like ChatGPT and Gemini are already changing the way people work, and the importance of governance and guardrails.50:52 – Human Intelligence in an AI-Powered World. A conversation about preserving critical thinking while embracing AI-assisted productivity.53:30 – Final Advice for Aspiring Entrepreneurs. Rajshri's closing message: take calculated risks, build something you care about, stay resilient, and enjoy the journey.55:44 – Closing Remarks. Gayatri wraps up the conversation and thanks Rajshri for sharing her story and insights.Memorable Quotes"If I can do it, anybody can do it.""Take calculated risks.""Relationships are what give you business.""You should be passionate, but not too attached to the outcome.""The future belongs to people who can work with AI, not compete against it." (paraphrased from discussion)Rajashri (“Raj”) Sankavaram, CEO Radus Software LLC, is the driving force behind the company’s culture of excellence, integrity, and continuous innovation. With a strong background in quality management, program delivery, and organizational leadership, she has built Radus into a trusted federal and commercial partner known for precision, transparency, and reliability. Raj is the evangelist behind the creation of Metronome Orchestrated Agile®️, the company’s flagship platform that unites human-centric design, compliance automation, and AI-assisted orchestration to simplify complex software delivery. Under her leadership, Radus has achieved recognition for its federal contracting excellence, delivering mission-critical solutions for agencies such as the IRS, FAA, NNSA, and DHA. Her emphasis on collaboration, mentorship, and quality-driven growth continues to shape Radus as a company that not only delivers outcomes but also builds enduring relationships grounded in trust and accountability. can be contacted at https://www.linkedin.com/in/raj-sankavaram-0947427/ 

From H4 to CEO: Building a Life and Software Company with Rajashri Kidambi

My guest today is a good friend and colleague - and not to forget with whom I was a co-author for a book, Paramu Kurumathur. In this episode, Paramu discusses how his recent development work evolved from small Google Apps Script utilities copied and adapted from online examples to building AI-connected applications via APIs to tools like Gemini and ChatGPT, including enabling Q&A over his book content. He describes surprises from “conversing” with his books—especially that LLMs retain details he has forgotten—while noting key risks such as hallucinations and the need for precise prompts. He explains learning Cursor with guidance from our colleague, Raja, discovering that it can generate code, and rapidly producing a proof of concept that maps citizens to the Government welfare schemes using PDFs, Chroma DB, sentence transformers, and queues—work that took about a week instead of months. The conversation contrasts older development eras with today’s dependency-heavy environments, argues many SDLC intermediate steps are compressed, and highlights transferable mid-career skills in requirements and problem translation, alongside concerns about limited debugging and testing depth. The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section 00:00 Welcome and Setup01:16 Rediscovering Coding via Apps Script02:02 Connecting Scripts to LLM APIs03:21 Talking to Your Own Book05:32 Hallucinations and Prompt Control06:50 Learning Cursor and Building a POC09:09 Old School Dev vs Modern Tooling12:00 AI Changes the SDLC13:36 Testing and Trusting AI Output15:10 Debugging Gaps and Assumptions16:34 Setting AI Standards17:20 Mid Career Transfer Skills18:48 Prompting Without Hallucinations20:21 Courses vs Learning by Doing23:25 Overcoming First Step Fear25:24 LLM Limits in Astronomy28:24 Cursor for Reliable Code29:37 Anybody Can Code Now31:13 Next Projects and Wrap Up

My guest today is a good friend and colleague - and not to forget with whom I was a co-author for a book, Paramu Kurumathur.In this episode, Paramu discusses how his recent development work evolved from small Google Apps Script utilities copied and adapted from online examples to building AI-connected applications via APIs to tools like Gemini and ChatGPT, including enabling Q&A over his book content. He describes surprises from “conversing” with his books—especially that LLMs retain details he has forgotten—while noting key risks such as hallucinations and the need for precise prompts. He explains learning Cursor with guidance from our colleague, Raja, discovering that it can generate code, and rapidly producing a proof of concept that maps citizens to the Government welfare schemes using PDFs, Chroma DB, sentence transformers, and queues—work that took about a week instead of months. The conversation contrasts older development eras with today’s dependency-heavy environments, argues many SDLC intermediate steps are compressed, and highlights transferable mid-career skills in requirements and problem translation, alongside concerns about limited debugging and testing depth.The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section00:00 Welcome and Setup01:16 Rediscovering Coding via Apps Script02:02 Connecting Scripts to LLM APIs03:21 Talking to Your Own Book05:32 Hallucinations and Prompt Control06:50 Learning Cursor and Building a POC09:09 Old School Dev vs Modern Tooling12:00 AI Changes the SDLC13:36 Testing and Trusting AI Output15:10 Debugging Gaps and Assumptions16:34 Setting AI Standards17:20 Mid Career Transfer Skills18:48 Prompting Without Hallucinations20:21 Courses vs Learning by Doing23:25 Overcoming First Step Fear25:24 LLM Limits in Astronomy28:24 Cursor for Reliable Code29:37 Anybody Can Code Now31:13 Next Projects and Wrap Up

Reviving Developer Passion with Paramu Kurumathur

My guest today is Evan J. Schwartz, the COO of AMCS Group North America, a global leader in sustainable cloud technology. He also serves as an Adjunct Professor and Board Advisor at Jacksonville University, mentoring graduate students in AI, cybersecurity, and technical project management. Evan traces his technology origin from early-1980s bulletin board systems to founding a company that built graphic multiplayer BBS games and a scripted graphics language, that he says predated HTML, reaching 33 titles across a global BBS market before the internet rapidly displaced it around 1995. He then shifted from internet gaming into business software, automating insurance workflows and later working in commodity and “reverse logistics” industries including forestry, natural gas, and waste/recycling at AMCS, citing route optimization across 770,000 trucks that saves 17–20 gallons of diesel per truck. He discusses why ERP adoption is hard, advocating game-design-style gradual introduction, putting people first, and having product teams do end-user jobs. He emphasizes vendor relationships over feature requests, AI governance and risk frameworks, a “person + AI” stewardship model, and evolving education/career paths toward broad skills, clear communication, domain knowledge, and knowing what “good” looks like. The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section 00:00 Welcome and Setup00:31 Early Computing Origins01:20 Building BBS Games03:02 Internet Shift to Business05:01 Reverse Logistics Mission06:34 ERP and AI Adoption08:31 Gaming Lessons for ERP11:03 People First Strategy13:00 Empathy by Doing the Job17:29 Vendor Trust and Roadmaps21:31 Universities vs AI Change24:58 Training Architects Without Coding26:03 AI as Faster Camera26:58 Stewardship Over Replacement28:34 Why Hallucinations Happen29:52 Capstones in One Class30:37 Excel to AI Migration33:08 M&A Governance Interop35:45 EU AI Act Reality Check37:56 Culture Shapes Adoption40:31 Interstellar Waiting Trap41:53 Career Skills for Stewards44:41 Quiet Failure Risk45:57 Protect Time and Values48:52 Closing Thanks Evan J. Schwartz is the COO of AMCS Group North America, a global leader in sustainable cloud technology. With 35+ years of experience in resource-intensive industries like waste, recycling, and natural gas, he drives digital transformation through AI and data science. Formerly AMCS’s Chief Enterprise Architect, Evan is also an adjunct professor at Jacksonville University, mentoring future IT leaders. A Forbes Technology Council member and sought-after speaker, he advocates for AI-driven sustainability and ethical tech. His bestselling book, People, Places, and Things, cements his expertise in seamless ERP implementation. SOCIAL MEDIA LINKS:Website: https://www.evanjschwartz.com/LinkedIn: https://www.linkedin.com/in/evan-schwartz-live/

My guest today is Evan J. Schwartz, the COO of AMCS Group North America, a global leader in sustainable cloud technology. He also serves as an Adjunct Professor and Board Advisor at Jacksonville University, mentoring graduate students in AI, cybersecurity, and technical project management.Evan traces his technology origin from early-1980s bulletin board systems to founding a company that built graphic multiplayer BBS games and a scripted graphics language, that he says predated HTML, reaching 33 titles across a global BBS market before the internet rapidly displaced it around 1995. He then shifted from internet gaming into business software, automating insurance workflows and later working in commodity and “reverse logistics” industries including forestry, natural gas, and waste/recycling at AMCS, citing route optimization across 770,000 trucks that saves 17–20 gallons of diesel per truck. He discusses why ERP adoption is hard, advocating game-design-style gradual introduction, putting people first, and having product teams do end-user jobs. He emphasizes vendor relationships over feature requests, AI governance and risk frameworks, a “person + AI” stewardship model, and evolving education/career paths toward broad skills, clear communication, domain knowledge, and knowing what “good” looks like.The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section00:00 Welcome and Setup00:31 Early Computing Origins01:20 Building BBS Games03:02 Internet Shift to Business05:01 Reverse Logistics Mission06:34 ERP and AI Adoption08:31 Gaming Lessons for ERP11:03 People First Strategy13:00 Empathy by Doing the Job17:29 Vendor Trust and Roadmaps21:31 Universities vs AI Change24:58 Training Architects Without Coding26:03 AI as Faster Camera26:58 Stewardship Over Replacement28:34 Why Hallucinations Happen29:52 Capstones in One Class30:37 Excel to AI Migration33:08 M&A Governance Interop35:45 EU AI Act Reality Check37:56 Culture Shapes Adoption40:31 Interstellar Waiting Trap41:53 Career Skills for Stewards44:41 Quiet Failure Risk45:57 Protect Time and Values48:52 Closing ThanksEvan J. Schwartz is the COO of AMCS Group North America, a global leader in sustainable cloud technology. With 35+ years of experience in resource-intensive industries like waste, recycling, and natural gas, he drives digital transformation through AI and data science. Formerly AMCS’s Chief Enterprise Architect, Evan is also an adjunct professor at Jacksonville University, mentoring future IT leaders. A Forbes Technology Council member and sought-after speaker, he advocates for AI-driven sustainability and ethical tech. His bestselling book, People, Places, and Things, cements his expertise in seamless ERP implementation.SOCIAL MEDIA LINKS:Website: https://www.evanjschwartz.com/LinkedIn: https://www.linkedin.com/in/evan-schwartz-live/

From Gaming to Global Efficiency with Evan J Schwartz

My guest today is Chaitra Partha Rao, Vice President at Daimler Truck Innovation Center India – Manufacturing , Sales & Aftersales. Chaitra shares how her childhood aspirations to become a neurosurgeon shifted to commerce due to cost constraints, eventually leading her into IT through an internship at a medical diagnostics firm automating stores processes. She describes observing early requirement-gathering and MVP-style delivery, learning the importance of user empathy, and contrasts it with a later failure where a $15M trading interface was rejected because designers didn’t listen to analysts. Her career spans core banking, Fidelity-style investing, equity trading transformation (including crypto/digital assets focus in 2015–2017), and automotive/trucking, emphasizing designing for human touchpoints even amid AI trends. She discusses patience versus outcome-chasing, staying focused via “recalculating” and timeboxing, scaling systems using “day in the life” simulations, cross-cultural user commonalities, cautious optimism about synthetic data, guidance for women returning from career breaks, and grounding routines like yoga, reflection, cooking, and music. The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section 00:00 Welcome and Setup00:42 From Medicine to Commerce02:37 First IT Breakthrough05:41 Curiosity Meets Automation10:56 User Empathy in Practice16:33 Human Touch vs AI18:39 Patience and Ambition22:04 Staying Focused Timeboxing26:07 Commute Predictability Hacks26:37 Banking vs Trading Reality28:10 Learning Traders Language31:27 Designing for Scale Patterns36:38 Cross Culture User Insights40:12 AI Synthetic Personas Limits44:27 Returning After Career Break49:12 Staying Grounded Daily Routine51:13 Closing Reflections Thanks Chaitra is a seasoned leader with 26 years of experience in IT traversing through Fintech & Automotive domains. Her formative leadership experience stems from working for Fidelity Investments , a company that shaped who she is while putting it to practice and being able to coach and nurture A teams is an opportunity that she experiences with her current organization. She has played various roles that have taken her through learning paths that have been challenging as well as fulfilling in the areas of technology, process and team building.  She calls herself as ‘still a work-in-progress’, curious learner who takes one day at a time , enjoying it to the maximum and helping coach leaders and teams to bring their best.  She may be reached on: <a href="mailto:chaitrasreesha@gmail.com" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">chaitrasreesha@gmail.com</a>

My guest today is Chaitra Partha Rao, Vice President at Daimler Truck Innovation Center India – Manufacturing , Sales & Aftersales.Chaitra shares how her childhood aspirations to become a neurosurgeon shifted to commerce due to cost constraints, eventually leading her into IT through an internship at a medical diagnostics firm automating stores processes. She describes observing early requirement-gathering and MVP-style delivery, learning the importance of user empathy, and contrasts it with a later failure where a $15M trading interface was rejected because designers didn’t listen to analysts. Her career spans core banking, Fidelity-style investing, equity trading transformation (including crypto/digital assets focus in 2015–2017), and automotive/trucking, emphasizing designing for human touchpoints even amid AI trends. She discusses patience versus outcome-chasing, staying focused via “recalculating” and timeboxing, scaling systems using “day in the life” simulations, cross-cultural user commonalities, cautious optimism about synthetic data, guidance for women returning from career breaks, and grounding routines like yoga, reflection, cooking, and music. The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section00:00 Welcome and Setup00:42 From Medicine to Commerce02:37 First IT Breakthrough05:41 Curiosity Meets Automation10:56 User Empathy in Practice16:33 Human Touch vs AI18:39 Patience and Ambition22:04 Staying Focused Timeboxing26:07 Commute Predictability Hacks26:37 Banking vs Trading Reality28:10 Learning Traders Language31:27 Designing for Scale Patterns36:38 Cross Culture User Insights40:12 AI Synthetic Personas Limits44:27 Returning After Career Break49:12 Staying Grounded Daily Routine51:13 Closing Reflections ThanksChaitra is a seasoned leader with 26 years of experience in IT traversing through Fintech & Automotive domains. Her formative leadership experience stems from working for Fidelity Investments , a company that shaped who she is while putting it to practice and being able to coach and nurture A teams is an opportunity that she experiences with her current organization.She has played various roles that have taken her through learning paths that have been challenging as well as fulfilling in the areas of technology, process and team building. She calls herself as ‘still a work-in-progress’, curious learner who takes one day at a time , enjoying it to the maximum and helping coach leaders and teams to bring their best. She may be reached on: chaitrasreesha@gmail.com

Navigating Career Curves and Breaks with Chaitra Rao

My guest today is Tyler Wells, co-founder of Brain Grid.Tyler recounts 25+ years in software, from an early IBM XT to work across military communications, startups, Skype/Microsoft, and seven and a half years at Twilio building video and SRE organizations, before founding Propel Data (which didn’t find product-market fit) and then Brain Grid. He describes an experiment-driven approach to building high-performance systems by defining hypotheses, creating a “steel thread” MVP, and prioritizing observability for 2:00 AM incidents.  He discusses how AI coding shifts focus from typing code to architecture, documentation, critical thinking, and red-teaming plans, while warning that agents need guidance on separation of concerns and DRY to avoid refactor side effects. Brain Grid emerged from using Cursor agents during Propel’s wind-down and aims to generate detailed specs, acceptance criteria, and validation loops so agents implement features reliably, with attention to token efficiency.  He also covers co-founder traits, chaos engineering, compliance challenges for solopreneurs, career advice, and staying grounded through exercise, cooking, and family. Tyler Wells is the Co-founder and CTO at BrainGrid, BrainGrid is one of the first platforms built specifically to replace the missing product management role in AI-native software development.He is currently building BrainGrid — helping engineering teams ship faster with AI-assisted requirements breakdown and task management. We're focused on bridging the gap between product ideas and implementation-ready work. His Background: He has spent 25+ years building systems where failure isn't an option—from satellite communications at Hughes Space to real-time video at global scale. I led the team that built Facebook's first video calling feature powered by Skype, then spent 7+ years at Twilio building their Video Platform (WebRTC) and leading SRE/Observability across the company.

My guest today is Tyler Wells, co-founder of Brain Grid.Tyler recounts 25+ years in software, from an early IBM XT to work across military communications, startups, Skype/Microsoft, and seven and a half years at Twilio building video and SRE organizations, before founding Propel Data (which didn’t find product-market fit) and then Brain Grid. He describes an experiment-driven approach to building high-performance systems by defining hypotheses, creating a “steel thread” MVP, and prioritizing observability for 2:00 AM incidents. He discusses how AI coding shifts focus from typing code to architecture, documentation, critical thinking, and red-teaming plans, while warning that agents need guidance on separation of concerns and DRY to avoid refactor side effects. Brain Grid emerged from using Cursor agents during Propel’s wind-down and aims to generate detailed specs, acceptance criteria, and validation loops so agents implement features reliably, with attention to token efficiency. He also covers co-founder traits, chaos engineering, compliance challenges for solopreneurs, career advice, and staying grounded through exercise, cooking, and family.Tyler Wells is the Co-founder and CTO at BrainGrid, BrainGrid is one of the first platforms built specifically to replace the missing product management role in AI-native software development.He is currently building BrainGrid — helping engineering teams ship faster with AI-assisted requirements breakdown and task management. We're focused on bridging the gap between product ideas and implementation-ready work.His Background: He has spent 25+ years building systems where failure isn't an option—from satellite communications at Hughes Space to real-time video at global scale. I led the team that built Facebook's first video calling feature powered by Skype, then spent 7+ years at Twilio building their Video Platform (WebRTC) and leading SRE/Observability across the company.

Navigating Tech and Chaos with Tyler Wells

My guest today is L.A. Balamurugan, known as Bala. With extensive experience in software development, he now plays the role of a delivery coach.In this conversation filled with nuggets from his experience, Bala shares his career journey from a computer science degree in the early 1990s to roles at HCL, Perot Systems in the US, and Manugistics.After earning a master’s in information systems and software engineering from George Mason University, he joined HP Labs in Bangalore as an R&D project/program manager on HP OpenView and became involved in early Agile/Scrum adoption and scaling. He later launched a boutique consulting firm and co-founded BookMyTrainings.com (a training marketplace), grew it with angel funding, and expanded into payment collection and L&D program management before COVID led to winding it down.  He then spent about seven years as an Agile coach and recently published a startup-focused book, "What I Wish I Knew Before Starting Up," covering founder blind spots, idea alignment, co-founder choices, and emotional resilience. 00:00 Welcome and Setup00:30 Early Career at HCL01:53 Textile Systems Tech Stack02:28 US Onsite Perot Systems03:41 Supply Chain at Manugistics05:20 Return to India and Masters06:13 HP Labs and Agile Shift08:10 Entrepreneurship Leap08:57 Building BookMyTrainings10:23 Payments and Revenue Model11:52 SAFe Training and Coaching13:43 COVID Impact and Book Writing16:22 Learning New Domains Fast19:03 Dual Hat PM and Scrum22:48 Two Sided Marketplace Insights25:03 Training Pain Points26:05 Building Trust Platform26:53 Win Win Marketplace29:26 AI In Learning Paths32:06 Agile Culture Vs Delivery34:49 Writing Startup Book40:08 Career Tips In AI Era44:47 Co Founder Dilemma47:24 Staying Grounded49:56 Closing Thoughts L. A. Balamurugan, or Bala, began his career as a computer science engineer, studying in India and later completing his Master’s in the USA. After sixteen years building software products and leading teams, he moved into entrepreneurship, founding multiple ventures including BookMyTrainings, a well known training marketplace in India. Following the pandemic and the closure of the startup, Bala now works as a Delivery Coach helping software teams deliver better products faster. His entrepreneurial journey inspired his book, What I Wish I Knew Before I Started: A Founder’s Guide to Understanding One’s Blind Spots and Equipping Before Venturing. Bala’s Linkedin profile <a href="https://www.linkedin.com/in/labmurugan" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://www.linkedin.com/in/labmurugan</a>Link to his book: <a href="https://www.amazon.in/dp/B0GFNP7NTG" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://www.amazon.in/dp/B0GFNP7NTG</a>

  My guest today is L.A. Balamurugan, known as Bala. With extensive experience in software development, he now plays the role of a delivery coach.In this conversation filled with nuggets from his experience, Bala shares his career journey from a computer science degree in the early 1990s to roles at HCL, Perot Systems in the US, and Manugistics.After earning a master’s in information systems and software engineering from George Mason University, he joined HP Labs in Bangalore as an R&D project/program manager on HP OpenView and became involved in early Agile/Scrum adoption and scaling. He later launched a boutique consulting firm and co-founded BookMyTrainings.com (a training marketplace), grew it with angel funding, and expanded into payment collection and L&D program management before COVID led to winding it down. He then spent about seven years as an Agile coach and recently published a startup-focused book, "What I Wish I Knew Before Starting Up," covering founder blind spots, idea alignment, co-founder choices, and emotional resilience.00:00 Welcome and Setup00:30 Early Career at HCL01:53 Textile Systems Tech Stack02:28 US Onsite Perot Systems03:41 Supply Chain at Manugistics05:20 Return to India and Masters06:13 HP Labs and Agile Shift08:10 Entrepreneurship Leap08:57 Building BookMyTrainings10:23 Payments and Revenue Model11:52 SAFe Training and Coaching13:43 COVID Impact and Book Writing16:22 Learning New Domains Fast19:03 Dual Hat PM and Scrum22:48 Two Sided Marketplace Insights25:03 Training Pain Points26:05 Building Trust Platform26:53 Win Win Marketplace29:26 AI In Learning Paths32:06 Agile Culture Vs Delivery34:49 Writing Startup Book40:08 Career Tips In AI Era44:47 Co Founder Dilemma47:24 Staying Grounded49:56 Closing ThoughtsL. A. Balamurugan, or Bala, began his career as a computer science engineer, studying in India and later completing his Master’s in the USA. After sixteen years building software products and leading teams, he moved into entrepreneurship, founding multiple ventures including BookMyTrainings, a well known training marketplace in India. Following the pandemic and the closure of the startup, Bala now works as a Delivery Coach helping software teams deliver better products faster. His entrepreneurial journey inspired his book, What I Wish I Knew Before I Started: A Founder’s Guide to Understanding One’s Blind Spots and Equipping Before Venturing.Bala’s Linkedin profile https://www.linkedin.com/in/labmuruganLink to his book: https://www.amazon.in/dp/B0GFNP7NTG

Building a Business Dream with L A Balamurugan

In this episode, I am in conversation with Rajesh Sharma, co-founder and chief product officer of ProHance. Rajesh covers a lot of ground starting from his move from Public Sector to SaaS Founder.Rajesh describes his path from a modest middle-class upbringing in Shimla and a mechanical engineering degree to a stable career at HPCL, then a major career reset into software after quitting his public-sector job to take an IBM course and restarting as a trainee. He later co-founded JaMocha Tech  (now ProHance) in 2009 with co-founder Kishore Reddy, backed early by angel investor Sudhir Sharma, aiming to build a world-class software product from India. After experimenting with multiple products and learning that market feedback matters more than expert opinions, they focused on ProHance, a horizontal work visibility and effectiveness platform, now with 250+ customers in 23 countries, ~200+ employees, and a private equity majority investor. He emphasizes the importance of complementary co-founders, supportive family, direct founder-customer feedback loops, profitability and frugality, outcome ownership, and adopting AI internally and in-product. 00:00 Welcome and Setup01:00 Origin Story and Courage02:10 From Shimla to Bangalore04:22 Quitting HPCL for IT07:06 Starting the Company11:06 Why Team Matters14:02 Family Support System16:56 Finding Product Market Fit18:45 Choosing the Winning Product23:18 Selling a Horizontal SaaS24:31 Business Meets Tech25:48 Customer Value Mindset27:36 Product Decisions and Risk30:36 Start Small MVP33:01 Founder Led Feedback Loop35:28 Scaling Global Teams36:05 Leaders From Customers39:16 AI Adoption and Roadmap46:03 Staying Grounded Values50:21 Parting Advice Start Now Rajesh Sharma is a first-generation entrepreneur and the co-founder of ProHance, a highly successful, self-funded, profitable SaaS startup built from the ground up in Bangalore, India.Born and raised in Shimla, Himachal Pradesh, Rajesh earned his degree in Mechanical Engineering from MNIT, Jaipur. He began his professional journey with Hindustan Petroleum Corporation Limited (HPCL), one of India’s leading public sector oil and gas companies.After over 12 years at HPCL, Rajesh identified the rising potential of the IT sector and made a strategic career transition in 2000, moving from a stable corporate role to the technology industry as a software engineer. He gained practical experience in software product development with companies including Network Solutions, International Decision Systems, and JSoft.In 2009, Rajesh co-founded JaMocha Tech with Kishore Reddy (later renamed ProHance) where he leveraged his techno-functional expertise to build a profitable, debt-free SaaS enterprise. Today, ProHance stands as a global platform with over 200 enterprise customers and an annual recurring revenue (ARR) of around $18 million. In December 2023, ChrysCapital acquired a 75% stake in ProHance, fuelling its next phase of global expansion across regions such as the Philippines, Australia, and South America.Throughout his career, he has consistently embraced roles beyond his core expertise, applying a hands-on, practical approach that combines on-the-job learning with sound judgment. This rare combination has shaped him into a leader with deep insight into both the business and technical aspects of running any enterprise.Rajesh continues to be deeply involved with ProHance, now serving as its Chief Product Officer (CPO) after transitioning from his earlier role as COO. In this capacity, he continues to drive ProHance’s product vision, innovation, and technology roadmap—while mentoring the next generation of entrepreneurs and builders navigating their own zero-to-one journeys.  Contact info: <a href="https://www.linkedin.com/in/rajesh-sharma-12298447" rel="noopener noreferrer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">https://www.linkedin.com/in/rajesh-sharma-12298447</a>

In this episode, I am in conversation with Rajesh Sharma, co-founder and chief product officer of ProHance. Rajesh covers a lot of ground starting from his move from Public Sector to SaaS Founder.Rajesh describes his path from a modest middle-class upbringing in Shimla and a mechanical engineering degree to a stable career at HPCL, then a major career reset into software after quitting his public-sector job to take an IBM course and restarting as a trainee. He later co-founded JaMocha Tech  (now ProHance) in 2009 with co-founder Kishore Reddy, backed early by angel investor Sudhir Sharma, aiming to build a world-class software product from India. After experimenting with multiple products and learning that market feedback matters more than expert opinions, they focused on ProHance, a horizontal work visibility and effectiveness platform, now with 250+ customers in 23 countries, ~200+ employees, and a private equity majority investor. He emphasizes the importance of complementary co-founders, supportive family, direct founder-customer feedback loops, profitability and frugality, outcome ownership, and adopting AI internally and in-product.00:00 Welcome and Setup01:00 Origin Story and Courage02:10 From Shimla to Bangalore04:22 Quitting HPCL for IT07:06 Starting the Company11:06 Why Team Matters14:02 Family Support System16:56 Finding Product Market Fit18:45 Choosing the Winning Product23:18 Selling a Horizontal SaaS24:31 Business Meets Tech25:48 Customer Value Mindset27:36 Product Decisions and Risk30:36 Start Small MVP33:01 Founder Led Feedback Loop35:28 Scaling Global Teams36:05 Leaders From Customers39:16 AI Adoption and Roadmap46:03 Staying Grounded Values50:21 Parting Advice Start NowRajesh Sharma is a first-generation entrepreneur and the co-founder of ProHance, a highly successful, self-funded, profitable SaaS startup built from the ground up in Bangalore, India.Born and raised in Shimla, Himachal Pradesh, Rajesh earned his degree in Mechanical Engineering from MNIT, Jaipur. He began his professional journey with Hindustan Petroleum Corporation Limited (HPCL), one of India’s leading public sector oil and gas companies.After over 12 years at HPCL, Rajesh identified the rising potential of the IT sector and made a strategic career transition in 2000, moving from a stable corporate role to the technology industry as a software engineer. He gained practical experience in software product development with companies including Network Solutions, International Decision Systems, and JSoft.In 2009, Rajesh co-founded JaMocha Tech with Kishore Reddy (later renamed ProHance) where he leveraged his techno-functional expertise to build a profitable, debt-free SaaS enterprise. Today, ProHance stands as a global platform with over 200 enterprise customers and an annual recurring revenue (ARR) of around $18 million. In December 2023, ChrysCapital acquired a 75% stake in ProHance, fuelling its next phase of global expansion across regions such as the Philippines, Australia, and South America.Throughout his career, he has consistently embraced roles beyond his core expertise, applying a hands-on, practical approach that combines on-the-job learning with sound judgment. This rare combination has shaped him into a leader with deep insight into both the business and technical aspects of running any enterprise.Rajesh continues to be deeply involved with ProHance, now serving as its Chief Product Officer (CPO) after transitioning from his earlier role as COO. In this capacity, he continues to drive ProHance’s product vision, innovation, and technology roadmap—while mentoring the next generation of entrepreneurs and builders navigating their own zero-to-one journeys. Contact info: https://www.linkedin.com/in/rajesh-sharma-12298447

Unleashing Potential with Rajesh Sharma

Host: Chitra Gurjar <ul><li>4 decades and counting, always energized to do something, work is my DNA</li><li>From post and telegraph to giving tuitions to creating her own agency to study</li><li>An advocate for herself, nurturing her desire to serve</li><li>Turning away “assured” job offers to join Defence Labs as a Scientist at CABS</li><li>Moved onto a “lesser assurance” to join HP</li><li>People and culture at the heart of her 3+decade stay at HP</li><li>Challenging status quo, try and fail, Innovation has to be a part of one’s daily life</li><li>Stay focused on problems that you are solving and layer tools and technology to solve your problem</li><li>Focus on incremental delivery of value</li><li>Holding a people vision through the course of her work</li><li>Strong belief that “AI will improve the quality of jobs”</li><li>Learning is a constant - continue to build </li><li>Apply training and learning programs intentionally</li><li>Working on a market analysis - next gen quoter</li><li>Strong belief on impact of AI on Healthcare and Education</li><li>Believing that coaching is something everyone should learn, enable people as answers lie within each one</li><li>Working with a non-profit Daksham skills and Dreams Designs</li></ul>﻿Arundathi has been working in technology and leadership related roles for the last 40+ years. Shestarted her career as a Scientist at Defence R&D Organisation (DRDO), Ministry of Defence, India.While at DRDO, she was involved in development of Radar transmitter and controller systems.Arundathi joined Hewlett Packard in 1996 and during her 27+ year career in HP and HPE, she hasworked in multiple roles across various business units. Under her leadership, HP rolled out multiplemarket leading internet services related products on HPUX. She was on one of the key leaderresponsible for setting up Global IT teams offshore centre in India in 2004. She has managed a teamof 3000+ technologists delivering for IT, across multiple technologies and multiple business areasenabling HP(E)’s business. She has successfully lead and delivered multiple IT transformationprojects. She has also lead the people transformation to move towards digital technologies inalignment with the market trends and business needs. She has had a short stint of 2 years at EY asthe Engineering leader for India, in Client Technology, building on Product engineering and deliverycapability. In the recent past she was the Global Program Manager for HPE’s industry leading NextGeneration IT transformation program. She leads the Global Delivery Services organisation, which isthe internal the delivery engine for GIT. She is also the India leader for HPE’s Global IT.Arundathi has led several initiatives in people transformation towards digital transformation,customer centricity and employee engagement. She is passionate about building teams and leaderswho are future proof and future safe. She has a strong passion towards building women leaders intechnology and mentored and coached many women through focussed initiatives. She has also hada stint as the chairperson at HP for Prevention of Sexual Harassment at workplace.Arundathi has as Bachelor of Engineering degree in Electrical and Electronics from GovernmentCollege of Technology, Coimbatore and Master of Technology from Indian Institute of Technology,Madras (IITM). She is a certified coach.During her free time, Arundathi loves to teach, coach, travel and read.

Host: Chitra Gurjar4 decades and counting, always energized to do something, work is my DNAFrom post and telegraph to giving tuitions to creating her own agency to studyAn advocate for herself, nurturing her desire to serveTurning away “assured” job offers to join Defence Labs as a Scientist at CABSMoved onto a “lesser assurance” to join HPPeople and culture at the heart of her 3+decade stay at HPChallenging status quo, try and fail, Innovation has to be a part of one’s daily lifeStay focused on problems that you are solving and layer tools and technology to solve your problemFocus on incremental delivery of valueHolding a people vision through the course of her workStrong belief that “AI will improve the quality of jobs”Learning is a constant - continue to build Apply training and learning programs intentionallyWorking on a market analysis - next gen quoterStrong belief on impact of AI on Healthcare and EducationBelieving that coaching is something everyone should learn, enable people as answers lie within each oneWorking with a non-profit Daksham skills and Dreams Designs﻿Arundathi has been working in technology and leadership related roles for the last 40+ years. Shestarted her career as a Scientist at Defence R&D Organisation (DRDO), Ministry of Defence, India.While at DRDO, she was involved in development of Radar transmitter and controller systems.Arundathi joined Hewlett Packard in 1996 and during her 27+ year career in HP and HPE, she hasworked in multiple roles across various business units. Under her leadership, HP rolled out multiplemarket leading internet services related products on HPUX. She was on one of the key leaderresponsible for setting up Global IT teams offshore centre in India in 2004. She has managed a teamof 3000+ technologists delivering for IT, across multiple technologies and multiple business areasenabling HP(E)’s business. She has successfully lead and delivered multiple IT transformationprojects. She has also lead the people transformation to move towards digital technologies inalignment with the market trends and business needs. She has had a short stint of 2 years at EY asthe Engineering leader for India, in Client Technology, building on Product engineering and deliverycapability. In the recent past she was the Global Program Manager for HPE’s industry leading NextGeneration IT transformation program. She leads the Global Delivery Services organisation, which isthe internal the delivery engine for GIT. She is also the India leader for HPE’s Global IT.Arundathi has led several initiatives in people transformation towards digital transformation,customer centricity and employee engagement. She is passionate about building teams and leaderswho are future proof and future safe. She has a strong passion towards building women leaders intechnology and mentored and coached many women through focussed initiatives. She has also hada stint as the chairperson at HP for Prevention of Sexual Harassment at workplace.Arundathi has as Bachelor of Engineering degree in Electrical and Electronics from GovernmentCollege of Technology, Coimbatore and Master of Technology from Indian Institute of Technology,Madras (IITM). She is a certified coach.During her free time, Arundathi loves to teach, coach, travel and read.

A real natural with Arundathi Rao

Stories of what worked and sometimes what did not, in the course of discovering, designing, developing and delivering software based solutions – as shared by practitioners who went through these situations.

Stories of what worked and sometimes what did not, in the course of discovering, designing, developing and delivering software based solutions – as shared by practitioners who went through these situations.

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Software People Stories

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