Ibuildefficientsystemsthatworkintherealworld

A bit about me

"I'm a Fourth-year CS student at the University of Toronto - learning fast and building things that actually work."

I got into AI because I wanted to build things that felt like magic but worked like engineering. Cadence was my first real attempt at that — using health data and LLMs to give people something genuinely useful. I'm still early in that journey, but I build carefully and I'm obsessed with the details.

Outside of AI, I have a solid CS foundation — data structures, algorithms, databases, systems — and I've picked up full-stack skills along the way. I'm looking for projects and opportunities where I can keep growing while contributing something real.