Summary
Jian Vora is a machine learning engineer and founding technical lead with eight years of experience building AI infrastructure and research-driven products at the intersection of agents, robustness, and multimodal learning. Currently a founding member at Sycamore Labs, he focuses on trust infrastructure for production AI—safety, security, governance, and orchestration—after co-founding CurieTech to build LM coding agents for enterprise integrations. His Stanford MS and research at SAIL produced agents for scientific discovery and robustness work published at NeurIPS, ICML, and ICLR, and he has applied those skills in industry internships at Twitch and AWS. Comfortable bridging deep research and production, Jian combines theoretical contributions (probabilistic circuits, tensor recovery) with hands-on systems experience, and he often operates at the boundary of ML safety and deployable agent tooling.
7 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Bombay
Master's degree, Computer Science, Master's degree, Computer Science at Stanford University
English, Hindi, Marathi