Turning operational chaos
into scalable systems.

I'm a data scientist with a Ph.D. in Transportation Engineering and an M.S. in Statistics, currently based in California. My work sits at the intersection of machine learning, simulation, and mathematical programming — translating messy, real-world logistics problems into algorithms that hold up at scale. AI tools are a daily part of that workflow, from accelerating experimentation to speeding up code review.

Outside of production code and optimization models, I spend my time with a camera in hand, planning the next trip, and following wherever curiosity about new technology leads.