Paul Ozog is an engineering manager with 13 years of experience leading perception and mapping teams for autonomous vehicles, currently at Woven Planet Holdings after managing the Mapping team at Toyota Research Institute. He holds a PhD in Electrical Engineering from the University of Michigan, where his research on SLAM in confined underwater environments produced peer-reviewed publications and a knack for solving localization problems in extreme conditions. Paul combines deep algorithmic expertise in SLAM, computer vision, and machine learning with strong UNIX-based software engineering and a track record shipping production-ready autonomy stacks at Ford and Toyota. He’s comfortable bridging research and product, translating novel academic ideas into robust systems for real-world driving, and often brings uncommon experience from underwater robotics to automotive mapping challenges.
13 years of coding experience
12 years of employment as a software developer
MS, PhD, Electrical Engineering: Systems, MS, PhD, Electrical Engineering: Systems at University of Michigan
BS, Electrical and Computer Engineering, BS, Electrical and Computer Engineering at Northeastern University
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Paul Ozog - Engineering Manager at Woven Planet Holdings