Current Focus

Right now, I’m focused on building thoughtful, reliable systems and continuing to deepen my skills in machine learning and data engineering.

I’m especially interested in work where data directly informs decisions that matter — whether that’s identifying risk, supporting analysts, or helping people make sense of complex information.

I’m spending a lot of time thinking about how models behave once they leave notebooks: how they’re evaluated, explained, and trusted by the people using them.

Outside of technical work, I’m continuing to grow as a leader through student organizations and projects that require coordination, ownership, and clear communication under real constraints.