with 3+ years shipping production AI systems, prediction-market infrastructure, and consumer products at early-stage startups, one thing never changes — my thrill for donning a new hat and making it fit like second skin.

i am currently a founding engineer at catos labs in SF, building data pipelines, agentic systems, and feedback loops for markets where correctness matters.

before that, i helped build sweep games, matrix23, and healthcare AI projects — from fiat-to-crypto on-ramps and realtime backends to RAG pipelines, image models, discord bots, and clinical reasoning systems.

fluent in both code and curiosity — i've worked across TypeScript, Python, Go, Solidity, Lua, and the messy middle where frontend, backend, data, infra, and AI all meet.

my roots go a little wider too: published research in AI, distributed systems, quantum computing, UAV networks, and even compact star models; plus fellowships, hackathon bounties, and campus communities that taught me how to build in public.

lately, i've been diving deeper into MLOps, LLM tuning, and agent evaluation; a frontier i believe will soon become core to every builder's arsenal.

thanks for reading.