We are pleased to welcome Sachin Keshav as a new team member.
Let’s Start from the Beginning, Sachin—Tell Us About Yourself and How You Joined Living Mainframe.
My journey into tech began the day our first family computer arrived in the early 2000s. What looked like a bulky, humming box to most felt like a window into another world for me. From installing early versions of Windows software to getting lost in pixelated computer games, I was hooked. That childhood fascination quickly turned into a lifelong passion for understanding how technology works—and how it can be used to solve real problems.
Fast forward to 2025, I was scrolling through LinkedIn when a post about CodeRevive by Living Mainframe caught my eye. The idea of modernizing legacy systems through intelligent automation deeply resonated with me. As someone who had worked extensively in mainframe environments, this felt personal. I reached out to Marc and Andi, shared my experiences, and explored how I could contribute to Living Mainframe’s mission. That conversation marked the beginning of a new chapter.
What Did You Do Before Joining Living Mainframe?
I completed my Bachelor’s in Computer Science Engineering in India, where I first explored fintech by building an Android app that integrated payment gateways. This project piqued my interest in how banks manage large-scale, secure financial transactions, an interest that led me to discover the power and scale of Mainframe systems.
After graduation, I joined Synechron, where I was part of a team managing credit card transactions for a major global bank. Our systems supported over 5 million active cards across four countries. I developed COBOL programs that handled these systems. The technical challenges were rewarding, but what intrigued me most was the untapped potential of mainframe data. I began to ask: what if we could do more with it?
This curiosity led me to pursue a Master’s in Data Science at FAU Erlangen in Germany. Here, I broadened my technical capabilities in data analytics and machine learning. I also worked at Giesecke+Devrient as a Werkstudent, where I collaborated with service owners to identify operational inefficiencies and apply AI-driven solutions to improve performance.
For my master’s thesis, I built a federated learning framework focused on privacy-preserving AI, incorporating adaptive strategies for smarter and more efficient use of decentralized resources. It was the perfect confluence of my mainframe background and emerging interests in ethical, scalable AI.
Why Living Mainframe? Why Now?
What drew me to Living Mainframe was its bold and future-facing vision: bridging the gap between the reliability of legacy systems and the innovation of modern technology. The idea of “Aizing the Mainframe”—injecting intelligence into historically rigid systems—felt both revolutionary and necessary.
Products like CodeRevive and z/OS Search are exactly the kinds of solutions I wish existed during my early years as a cobol developer. They would have saved time, reduced friction, and opened doors to smarter system design. Now, I get to be on the other side—helping build the tools I once needed.
Joining Living Mainframe allows me to combine everything I’ve learned—from cobol to federated AI—and apply it toward reshaping how the world views Mainframes. I’m thrilled to be part of a team that’s turning legacy into opportunity, one line of code—and one breakthrough—at a time.
Thank you, Sachin, for sharing such valuable insights into your journey and motivation. We’re thrilled to have you on board – and excited for all that we’ll achieve together.
