Dogan Gidon is a senior ML systems and evaluation leader with 8+ years of experience building scalable, production-grade evaluation and monitoring frameworks for robotics and autonomy. He led and scaled a 25+ person team at Cruise that delivered 100x performance improvements in AI system evaluation and institutionalized company-wide evaluation frameworks for trajectory, behavior, and on-road monitoring. Trained as a control and optimization researcher with a PhD from UC Berkeley, he thrives at the hardware-software boundary, turning first-principles thinking into automated, high-frequency insights that directly inform product and safety decisions. Known for growing trusted technical teams rapidly while maintaining rigorous validation standards, he now applies that expertise to ML systems and applied robotics problems from Seattle. An uncommon combination of plasma-control research and hands-on AV evaluation gives him a unique lens on reliability in complex physical systems.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Chemical and Biomolecular Engineering, Doctor of Philosophy (PhD) Chemical and Biomolecular Engineering at University of California, Berkeley
High School Natural Sciences, High School Natural Sciences at Üsküdar Amerikan Lisesi / Üsküdar American Academy
Bachelor of Engineering and Applied Sciences Chemical and Biological Engineering, Bachelor of Engineering and Applied Sciences Chemical and Biological Engineering at Koç University
Bachelor of Engineering and Applied Sciences Chemical and Biomolecular Engineering, Bachelor of Engineering and Applied Sciences Chemical and Biomolecular Engineering at University of Pennsylvania
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Dogan Gidon - Sr. Staff ML Systems Engineer - Evaluation