Anuj Potnis is a Principal Engineer with 11 years of experience specializing in autonomous vehicles, ADAS, computer vision and AI, currently leading systems and performance initiatives at Magna International in Germany. He has driven end-to-end validation strategies—designing annotation and ground-truth pipelines, cloud-based analytics for over 1M km of sensor data, and global annotation teams—to measure and improve ADAS KPIs. Anuj blends hands-on algorithm development (including a patented deep-learning trailer-angle detector) with systems engineering for HIL/SIL and sensor fusion across camera, radar and LiDAR stacks. Known for turning research into production, he modernized legacy perception pipelines to deep learning, built internal GPU research labs, and standardized functional performance testing globally. Based in Bavaria with an MS in Electrical and Electronics Engineering, he pairs rigorous academic foundations with practical delivery at OEM scale.
11 years of coding experience
13 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Michigan Technological University
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Anuj Potnis - Principal Engineer at Magna International