From curious experiments
to building with AI.

It started in school with a simple question: how does software actually work? I was fascinated by how a few lines of code could become something people use every day. That curiosity pushed me toward engineering — and eventually toward AI.

College became a mix of coursework, hackathons, and late-night builds. I failed plenty along the way — exams, competitions, and projects that never made it past version one. But each attempt taught me something about scope, teamwork, and staying calm when things break.

Hackathons changed the pace. Smart India Hackathon pushed me to ship under pressure with a team, communicate clearly, and demo something real — not just a slide deck. That experience shaped how I build today: fast iterations, tight feedback loops, and focus on what users actually need.

Now I spend most of my time at the intersection of AI and product — RAG systems, LLM workflows, and full-stack apps that connect models to real interfaces. I'm still figuring things out, but I'm doing it by building.

Outside of work, you'll find me writing on Medium, exploring new tools, or chasing the next hackathon idea. I like learning in public and sharing what actually worked — and what didn't.

I'm drawn to builders who combine technical depth with clarity. That's the kind of engineer I want to become.