I work at the intersection of math, AI, and finance, where math gives me the rigor, AI the leverage, and finance the intuition.
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 computer vision pipeline, or an evaluation set for child-safety models.
Underneath everything I do is real mathematical grounding and a background in finance that allows me to ask the right questions. I've admired models, outcomes, and numbers for longer than I can remember. I've run DCF and LBO analyses, created item detection pipelines from scratch, 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 investing himself in tech now, so the expertise compounds later. I'm pragmatic about shipping, serious about work, and consistently learning.