Greg Gandenberger is a senior software and machine learning engineer with a decade of experience building evaluation, dataset, and ML infrastructure for autonomous vehicles and large-scale production systems. Currently at Waymo, he focuses on planner reasoning evaluation, bringing prior impact at Cruise and Argo AI where he raised model precision, automated dataset pipelines, and led dataset management across multiple teams. His background spans applied ML, computer vision, and validation tooling—yielding measurable savings and faster release cycles (e.g., cutting dataset turnaround from ten weeks to one). Greg pairs academic rigor (a PhD in History & Philosophy of Science and MA in Statistics) with practical engineering, authoring tools like the Model Inspector and the Wildebeest image-processing framework. He also holds patents from work on satellite imagery analytics and has a track record of turning complex evaluation problems into robust, production-ready processes.
10 years of coding experience
11 years of employment as a software developer
Data Science, Data Science at The Data Incubator
Bachelor of Arts (B.A.) Philosophy, Bachelor of Arts (B.A.) Philosophy at Washington University in St. Louis
Doctor of Philosophy (PhD) History and Philosophy of Science, Doctor of Philosophy (PhD) History and Philosophy of Science at University of Pittsburgh
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