I design and build algorithms and infrastructure for recursive self-improvement, especially around generative models, reinforcement learning, and software-engineering agents. I try to approach research, engineering, business, and prioritization the same way: make things as simple as possible, but not simpler; quotient out accidental detail, preserve the invariant, then build from there.

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• Top 0.56% in Google Code Jam 2020 across 96,000+ registrants.
• Won ~USD 9k at ETHGlobal Paris for zkAlpha.
• Open-source contributor to vllm, sglang, slime, Harbor, AReaL, prime-rl, Tesla's fixed-containers, etc.
• Perfect 4.0 GPA at Georgia Tech, focused on generative modeling, foundation models, reinforcement learning, and efficient ML.
• A+ in theory-heavy courses including advanced algorithms, advanced linear algebra, quantum information and computation, and modern cryptography.