Venkatraman Narayanan
Principal Tech Lead Manager - Motion Planning at Aurora
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolVenkatraman Narayanan is a Principal Tech Lead Manager specializing in motion planning and autonomous decision-making with 11 years of experience building real-world robot autonomy systems. Based in the San Francisco Bay Area, he leads motion-planning teams at Aurora, driving lane-change, merge, and vulnerable-road-user reasoning while balancing safety, scalability, and resource constraints. His PhD work at Carnegie Mellon produced deployable 3D perception and planning algorithms demonstrated on personal robots, UAVs, and industrial manipulators, and he has published and reviewed extensively in top robotics venues. He combines hands-on algorithm development with technical leadership, having progressed from core planner implementation to shaping high-profile autonomy demonstrations and processes. An occasional yet impactful contributor to self-driving research during internships at Google and Uber ATC, he brings a rare blend of academic rigor and production-grade engineering.
11 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Electronics and Communication Engineering, Bachelor’s Degree, Electronics and Communication Engineering at College of Engineering, GuindyMaster’s Degree, Robotics, Master’s Degree, Robotics at Carnegie Mellon University
Github Skills (14)
rgb10
feature-matching10
siggraph10
localization9
perception7
planning4
python3
react3
pytorch1
computer-vision1
machine-learning1
faster-rcnn1
deep-learning1
matlab1
Programming languages (1)
Github contributions (5)
sbpl/sbpl_utils
Aug 2015 - May 2017
Contributions:16 commits in 1 year 9 months
planningpythonutility-library
venkatrn/perception
Mar 2015 - Sep 2017
Deliberative Perception for RGB-D Object Instance Localization
Contributions:192 commits, 92 pushes, 4 branches in 2 years 6 months
feature-matchingrgb-drgbsiggraphperception
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