I've always cared more about impact than industry. Before tech I explored medicine (200+ volunteer hours in a hospital), actuarial science (passed the first board exam), and finance (risk-analyst internship). Not out of indecision, but out of a genuine search for where I could do the most good. None of them was where the leverage was.

Technology has the highest concentration of unsolved, high-stakes problems. The systems being built right now will reshape how knowledge gets produced and how decisions get made. I want to work on that directly, which is why I switched into CS and why I take it seriously.

I've been drawn to analytical thinking since I was a kid: logic puzzles, math problems, understanding how things work from first principles. That instinct is why software feels like home. I started writing code in September 2025, and nine months later I'm doing undergraduate research at The Matter Lab under Alán Aspuru-Guzik, building agentic AI systems for autonomous scientific discovery. The pace of that learning curve is the most honest thing I can say about how motivated I am.

I like problems where correctness is hard to define and harder to verify, and I'm not attached to one domain. Most of my work is backend: schema design, concurrency, and observability. Lately that's been AI systems, like Agora Village, a simulation of how model choice and personality prompting shape group dynamics.