Sanjay Nagaraj is an applied AI and healthcare engineer with eight years of experience building specialty access infrastructure and generative models that accelerate biological discovery and clinical care. He combines hands-on ML research—from NeurIPS- and ICML-associated work in antibody and multimodal genomics modeling—to product-oriented roles delivering large-scale health data pipelines and remote patient monitoring. Currently splitting time across a healthcare AI startup, venture investing in AI-first biology, and work on virtual cell projects, he bridges research, engineering, and early-stage company-building. Notably, his work spans both academic labs at Stanford and industry teams at Apple and Absci, where a provisional patent and high-profile conference papers reflect practical impact. Based in Greater Houston, he’s equally comfortable prototyping novel diffusion models as he is architecting systems to ensure care actually gets completed.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
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