Summary
Justin Svegliato is a Senior Research Scientist at Microsoft and UC Berkeley with 13 years of experience building safe, decision-making AI for real-world systems including AI assistants, self-driving cars, rovers, satellites, and humanoid robots. He combines rigorous theoretical metareasoning from his PhD at UMass Amherst with empirical work in planning, reinforcement learning, and LLM integration to monitor and control planning and execution in resource-constrained agents. His research has earned a Distinguished Paper Award at AAAI and an NSF Graduate Research Fellowship, and he has bridged academia and industry through roles at Nissan and Goldman Sachs. Based in Oakland, he brings a rare blend of formal foundations and applied systems engineering—often focusing on practical safety and monitorability that lets advanced models operate reliably in the open world.
13 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Philosophy with a Minor in Mathematics, 4.0, Bachelor of Science - BS, Computer Science and Philosophy with a Minor in Mathematics, 4.0 at Marist College
University of Massachusetts Amherst
Spanish, English