I design and deliver robust, scalable AI systems — and I write & mentor to pay it forward to the engineers a few steps behind me.
I grew up in Rajam — a small, quiet town in Srikakulam, one of the more rural corners of Andhra Pradesh. The kind of place where ambition feels slightly too large for the surroundings, which is probably why it compounds. I studied Electronics & Communication Engineering at GMR Institute of Technology, graduated in 2022, and somehow managed to fit a startup into the middle of it.
In our second year, Ajay Kumar Kolli, Neeraj Kumar Marupalli, and I co-founded Affix — a technology firm built on freelance energy, late nights, and the blind confidence of people who don't yet know what they can't do. We shipped real work for real clients. Ajay took it forward and still leads the firm today. Neeraj and I eventually moved into the corporate world, carrying everything those years taught us about owning an outcome.
On 10th March 2022, I walked into Hexaware Technologies as an Associate Software Engineer, fresh out of college and landed on a project called RapidX. What followed was one of the best professional educations I've had — not from a course, but from people. Bala Murugan, Sabrinathan, Sham Karthik, Sameer Sagar, and Sanjith shaped how I think about code, craft, and accountability. My managers Pankajam and Kalpesh gave me room to grow without letting me drift. I owe that chapter a lot.
Then ChatGPT launched. One month later, I was moved to RapidX AI. I barely knew what a language model was. What I did have was Gaurav Devdutt — a sharp, generous engineer who brought me into the world of AI and made it feel like a place I belonged. Manish and Farhat Enam rounded out that early team, and the three of them turned a steep learning curve into something that felt like momentum.
The real turning point came in June 2023, when I met Siddharth Murjani — a Python developer on RapidX AI at the time. I was still an old-school JavaScript guy. Siddharth sat down with me and we started from scratch: Python, machine learning, the emerging stack around LLMs. Together, we built RapidX from zero to production. I wore every hat — pre-sales, developer advocate, developer relations, DevOps. The breadth of that role is the reason I can walk into any part of the stack today without flinching.
It was Rejish PM who first introduced me to the world of DevOps — and that door led me to Harshal Deshpande. I don't say this lightly: that meeting changed my life. Harshal showed me what I was actually capable of — not just technically, but in terms of how much I should expect from myself and how others should value the work. Sachin Raturi and Shubham joined the DevOps team, and what we built together — AKS clusters, Azure storage, Kubernetes pipelines, last-minute fixes five minutes before a release — wasn't just infrastructure. It was a family.
Near the end of my time at Hexaware, Mrinal Soni — a brilliant engineer and patient mentor — pushed my machine learning depth further than I'd expected to go. On 26th October 2025, I left after 3 years and 7 months — proud of what RapidX became, and more grateful than I can put into words. I joined Oraczen as Lead Product Engineer, where I now architect and ship agentic AI systems in production: voice agents, LangGraph workflows, real-time WebRTC pipelines, and the observability layer that keeps all of it honest.
That last part is why I mentor on Topmate, build open-source tools, and write about what I learn. Every session, every SDK, every essay is a small bet that someone somewhere is working through the same problem — and might need a map instead of a mystery.
