I studied mathematics and it shaped how I work: define the problem precisely, strip away what does not matter, and judge a solution by whether it holds up outside ideal conditions.

At Nota AI, I work on on-device multimodal AI agents, building vision-language models that can reliably handle real visual tasks under device constraints.

I also explore AI for science, especially physics and simulation, drawing on my background in mathematics. In finance, I build open-source, agent-ready tools for financial data and research workflows.