Kevin Huang is a founder and machine learning leader with 8 years of experience building production ML and AI systems for healthcare, currently based in Palo Alto. He led data and ML at Notable, shipping 30+ clinical algorithms, architecting LLM-based conversational agents for scheduling and payments, and deploying vector databases and tooling that let non-developers test prompts and evaluate generative responses. His background spans end-to-end ML infrastructure—Kubeflow pipelines, TPU/GPU optimization, TensorRT acceleration, and scalable OCR/speech systems—paired with hands-on model production on AWS SageMaker. Trained as a Ph.D. electrical engineer from Stanford, he combines deep research rigor with product-focused delivery, having moved technologies from nanoscale optics to large-scale healthcare automation. An uncommon strength: he repeatedly translates novel research techniques into highly optimized, low-latency services that outperform human baselines in clinical settings.
8 years of coding experience
17 years of employment as a software developer
Bachelor of Science Electrical Engineering, Bachelor of Science Electrical Engineering at Northwestern University
Ph.D. Electrical Engineering, Ph.D. Electrical Engineering at Stanford University
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