Summary
Sai Yalamanchi is a senior software engineer focused on planning and controls for robotaxi autonomy, with 11 years of experience spanning road vehicles and aircraft. He combines deep technical expertise in motion planning, behavior prediction, probabilistic inference and generative models—skills honed at Zoox, Wing, Aurora and Uber ATG—plus a CMU MS in ECE and further guidance-and-control study at Stanford. Sai has a strong applied ML track record from Samsung’s Networks Business where he delivered production-scale anomaly detection and root-cause analytics for pan-India deployments. He has published work on trajectory prediction and structured prediction methods used to improve real-world autonomous vehicle behavior, and repeatedly optimized models for both accuracy and latency in safety-critical stacks. Known for bridging research and production, he brings a pragmatic focus on physically feasible solutions and latency-aware modeling to autonomy systems.
11 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Bombay
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Carnegie Mellon University
Guidance and Control Graduate Program, Guidance and Control Graduate Program at Stanford University
French, Telugu, English, Korean