Rising Junior at NYU

AI

Med Path lol

I am an undergraduate in the University of Maryland’s Computer Science Honors College, minoring in Mathematics. Backed by Google , I study Bayesian exploration for reinforcement-learning agents in non-stationary settings, running large-scale tests on the campus GPU cluster. I plan to deepen this work over the coming year and carry it into applied RL research for robotics. In parallel I serve as a forward-deployed software engineer at RGB Architecture in Hong Kong, where I build real-time platforms that help our architecture teams and clients, including Dior, Procter & Gamble, Alibaba, and Google, track costs, meet regulations, and deliver projects on schedule. As of summer 2025 I am building Vex @ Voodoo SAS

I am deeply interested in Reinforcement Learning theory and application and would love to collaborate with others to push the frontier of RL knowledge, especially in robotics, which is my main passion, while working toward smart factories that leverage advances in Reinforcement Learning. I believe that RL theory, research, and implementation are the keys to unlocking a future of more innovative and human-free manufacturing.

I am a UMD researcher on a Google -backed project that builds Bayesian exploration for RL in shifting tasks. Our method updates posteriors, trims over-exploration, speeds learning, and is moving into robotics trials. I test at scale on the university GPU cluster. I also work as a forward-deployed software engineer at RGB Architecture (HK), shipping real-time finance dashboards for clients like Alibaba and Google that keep projects compliant to regional regulations and on budget.