I study Statistics at the University of British Columbia and use this site to keep a clear record of the projects I can discuss in interviews.

My strongest work is in hands-on ML coursework and data analysis: cleaning data, building features, comparing baselines, checking model behavior, and explaining results with clear limitations.

I also build personal and AI-assisted prototypes, including local LLM workflows, coding-agent experiments, financial-data dashboards, and small web tools. For those projects, I focus on design decisions, manual checking, and what I learned from the process.