Summary
Vijay Govindarajan is a Senior Software Engineer with a decade of experience building probabilistic and machine learning systems for autonomous vehicles, currently designing behavior prediction models at Latitude AI. His work bridges research and production: at Motional he led development and deployment of an ML-based yield prediction pipeline and integrated prediction outputs into real-time planning under multimodal uncertainty. He holds a PhD from UC Berkeley where he developed adaptive planning and prediction methods for human-robot interaction, and earlier internships span Apple, NASA, and national lab R&D, reflecting a strong aptitude for applied multi-agent modeling. Vijay combines deep probabilistic modeling, motion-planning expertise, and hands-on systems engineering to move algorithms from paper to safety-critical production code.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Sciences, Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Sciences at University of California, Berkeley
Bachelor of Science in Economics Finance, Bachelor of Science in Economics Finance at The Wharton School
Bachelor of Science in Engineering Electrical Engineering, Bachelor of Science in Engineering Electrical Engineering at University of Pennsylvania