$ whoami

I'm a self-taught Software and AI engineer. My path into tech didn't follow the typical script — I completed an MSc in Physics at Central University of Tamil Nadu, then made a deliberate pivot into software. Not because I had to, but because I was already spending more time writing code than doing anything else. That pull was the signal.

I went through an intensive full-stack program at Brototype, but the real learning happened the way it always does: by building things, breaking them, and figuring out why. I went deep on the MERN stack — not just the happy path, but the architecture underneath it. Clean architecture, microservices, real-time systems with WebRTC and Kafka, cloud deployments on Azure and AWS. I wanted to understand how production software actually holds together, not just how to make a demo work.

Now I work as a Software Engineer at an AI company in Bangalore, which is exactly where I wanted to be. The intersection of solid engineering and applied AI is where the most interesting problems live. I write TypeScript and Node.js daily, I care about systems that are maintainable and testable, and I'm constantly exploring how LLMs can be wired into real products — not just as demos, but as things people actually rely on.

The physics background is more useful than it sounds. It trained a way of thinking — breaking a problem down to fundamentals before reaching for a tool, staying skeptical of the first answer, and sitting with uncertainty until something actually makes sense. That mindset travels well into engineering.