Sumit Kumar
Staff Tech Lead Manager, Motion Planning Scene Understanding at Aurora
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSumit Kumar is a Staff Tech Lead Manager specializing in motion planning and scene understanding for autonomous vehicles, with eight years of experience building production ML systems at Aurora and Uber ATG. He leads a team that fuses perception, localization, and map data to predict discrete and continuous behaviors of all actors in a scene, directly informing motion planning decisions across active platforms. Sumit has end-to-end expertise—from research-grade graph neural networks and Bayesian uncertainty models developed at CMU to deploying intent-prediction models and training/visualization tooling in fleet environments. He has published peer-reviewed work on interaction-aware trajectory prediction and repeatedly led multi-quarter projects with cross-functional teams of 8–10 engineers. Based in San Francisco, he blends strong academic rigor (IIT Kanpur, CMU) with pragmatic product delivery, and often surfaces model metrics and visualizations that accelerate iteration cycles beyond typical ML team practice.
8 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology KanpurHigh School, Science and Mathematics, 95.2%, High School, Science and Mathematics, 95.2% at D.A.V. PUBLIC SCHOOL, PATNAMaster's degree, Robotics, 4.13/4.0, Master's degree, Robotics, 4.13/4.0 at Carnegie Mellon University
English, Hindi
Github Skills (47)
gaussian10
gaussian-processes9
stochastic-processes9
q-learning9
interaction8
starcraft8
gymnasium8
pytorch8
modular7
particle7
machine-learning7
reinforcement-learning7
robot7
deep-learning7
gpu-acceleration7
Programming languages (5)
Github contributions (5)
sumitsk/cspace_belief
Jan 2019 - May 2019
Contributions:6 commits, 4 pushes, 1 branch in 3 months
sumitsk/algp
Jan 2019 - Oct 2020
Contributions:1 push in 1 year 8 months
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