Amrit Baveja is a founding-team engineer and researcher with a decade of experience building AI-first infrastructure, currently leading product and hiring at Sycamore Labs after a $65M seed raise to secure agent deployments. Trained at Stanford in computer science (AI), he has blended academic research—browser agents, adversarial attacks on coding models, and CUDA transpilation—with hands-on engineering across startups and academic labs. His background spans distributed systems, real-time OLAP pipelines, HIPAA-compliant production services, and ML inference in-database, demonstrating a rare mix of production reliability and research rigor. He’s shipped high-uptime platforms (99.99% for a school contact-tracing product), led small distributed teams, and taught cloud-native systems as the youngest adjunct at Washington University. Comfortable moving between low-level performance work and product-facing engineering, he focuses on trustworthy, secure agent infrastructure for AI in production. Based in San Francisco, he pairs startup founding experience with Stanford research credibility to bridge cutting-edge models and deployable systems.
9 years of coding experience
6 years of employment as a software developer
Cathedral School for Boys
High School, High School at The Branson School
Bachelor of Science - BS, Computer Science (Artificial Intelligence), Bachelor of Science - BS, Computer Science (Artificial Intelligence) at Stanford University
Contributions:4 pushes, 1 branch in 2 years 4 months
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