I don't pick one lane,
I connect them.

I work at the intersection of math, AI, and finance. Math gives me the rigor, AI gives me the leverage, and finance is the application.

I'm genuinely AI-native. I don't just use AI tools; I build and deploy with them. Claude, Codex, Ollama, and OpenCode are part of how I get things from idea to shipped, whether that's a deployed site, a data-visualization pipeline, or an evaluation set for child-safety models.

Underneath the tooling is real mathematical grounding and a background in finance that keep me asking the practical questions. I was built to ask what's the model, what's the outcome, what moves the number. I've run DCF and LBO analyses, automated reporting that cut coding and debugging time by 60%, and consulted for multiple businesses through Microfinance at Berkeley.

Here's the important part: I'm not claiming to be a senior engineer. I'm a fast, broad, curious builder who's early to collecting range, so the depth compounds later. Pragmatic about shipping, serious about work, and persistently learning.