Building AI that
works offline first.

I'm an Artificial Intelligence undergraduate who learns best by shipping — hackathon builds, open-source contributions, and small production-grade modules rather than just coursework. My recent work sits at the intersection of on-device machine learning and backend systems: squeezing models onto phones with no internet, and wiring up async pipelines that feed larger agent systems.

Alongside my degree, I co-founded Arush Labs, where we're building an AI-native product development platform. I care about the unglamorous parts — model size budgets, rate limits, data normalization — because that's usually where a demo turns into something that actually works.