About

I am a final-year computer science student at Atria Institute of Technology in Bangalore, graduating in June 2027.

I started building things properly in my second year, when a friend and I set up a company and I ended up owning the backend by default. That turned out to be the fastest way I have found to learn: there is nobody to escalate to, so you read the documentation and then you read the source.

Since then I have worked on a regulated clinical-trial platform where every document needed a tamper-evident history, a WhatsApp agent that handled machinery enquiries for buyers across India, and a teaching platform whose hardest requirement was knowing when to stay quiet. Alongside those I built a brain-computer interface on my desk, which has taught me more about the gap between a design document and a working system than anything else.

How I work

I measure things. Most of the numbers on this site came out of a log file or a database rather than an estimate, and where I have not measured something I say so. The brain-computer interface has a real 12.9 dB response and no accuracy figure, because I have run one subject and that is not enough to claim one.

I also try to put safety rules in code rather than in prompts. A prompt that says "never do X" is a suggestion; a function that refuses is a rule. That belief has shaped nearly every AI system on this site.

Outside the code

I run the Google Developer Groups chapter on campus, and was its AI/ML lead before that. We ran Cepheus 2025, a hackathon with over four hundred participants, and I have taken more than a hundred and twenty students through Google Cloud Study Jams. Most of what I know about explaining technical work to people who do not share my context, I learned standing in front of a room.

Right now

I am looking for software engineering internships and graduate roles, and I take freelance work. If something here is close to a problem you have,email me.