Systems engineer operating across AI inference, browser automation, and cognitive tooling — with a systems-first philosophy that prioritizes architectural leverage over feature accumulation. Builds production systems under genuine resource constraints (local inference, CPU-first deployment, constrained hardware), producing compact, self-improving agents rather than cloud-dependent pipelines.
Trained a 470K-parameter browser navigation model via Behavioral Cloning and DAgger without a GPU cluster; designed a multimodal cognitive OS with offline-first RAG that runs on consumer hardware; and orchestrated multi-LLM arbitration systems for quality optimization without per-token cost scaling. Parallel identity as a medical student provides domain depth in clinical reasoning systems (Interactive Cases) and drives an unusually rigorous standard for information architecture and decision modeling. Capable of taking a system from constraint definition → architecture → training loop → deployed product, independently.
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