I build AI that ships. I teach what I learn. I research what fascinates me.

The Philosophy

Most people treat AI as either pure research or pure product. I refuse to choose.

I train LLM's from scratch to understand how they actually work. Then I ship production systems that serve thousands. The research informs the building. The building reveals what's worth researching.

This isn't a career strategy — it's how I think learning should work.

Three Pillars

Build Production systems at enterprise scale. RAG pipelines, agentic workflows, backend services. Real users, real constraints, real impact.

Research Transformer architectures, scaling laws, Indic language models. Not papers for papers' sake — research that makes me a better builder.

Teach YouTube, courses, blogs, talks. If I learned something the hard way, I want to make it easier for the next person.

The Bet I'm Making

The best AI engineers of the next decade won't be specialists. They'll be people who can move fluidly between training a model, deploying it, and explaining it.

I'm building that skillset in public.