About Me
I've always been the kind of person who dives head-first into rabbit holes and doesn't surface until something tangible exists. The habit started with dismantling gadgets (often forgetting how to reassemble them) and evolved into late-night coding sessions, model training marathons, and convincing silicon to do things it was never meant to do.
Somewhere along the way I realised it isn't tech itself that excites me, it's using tech to unknot messy, real-world problems. From helping people find their dream car with plain language, to building voice AI that actually listens, to automating the unglamorous backend plumbing that keeps everything alive - I'm happiest when there's a hard problem up front and genuine impact on the other side.
These days my north star is a research companion, think NotebookLM × Perplexity that lets you debate, dissect, and build upon the papers you read. I've been neck-deep in gems like Scaling LLM Test-Time Compute and Inference Optimization, turning their insights into code. In parallel, I'm brewing an AI-powered car search that feels like chatting with a gear-head friend, plus the infra that keeps everything running fast, smooth, and smart.
When the laptop snaps shut you'll catch me working on startup ideas, shooting jump shots at the nearest court, planning the next passport stamp, or vibing to a steady stream of classic and new-school R&B. I'm obsessed with cultivating deep relationships and blending my first love - math, with my second love of tech into things people actually want. Still figuring it out, but building every day. Based in the DC area 📍
🎧 Check out my favorite R&B playlist — smooth neo-soul, '90s & '00s classics.