// the short version
I pick hard problems, go deep, and publish the honest result — including when everything fails.
I’m an MS AI student at Northeastern, and a teaching assistant for Reinforcement Learning. I started out in mechanical engineering, so I care less about leaderboards than about the math underneath. Calculus and Bayesian probability are the parts that feel right.
Every project starts the same way. I didn’t understand something, so I built it from scratch.
// the journey
// selected work
Things I built to understand them.
// the toolkit
What I build with.
// writing
Math, made to be understood.
// now —
// say hello
Let’s buildsomething honest.