Kevin Keely is a distinguished engineer and leader in the field of artificial intelligence, robotics, and autonomous systems. With extensive experience at Google and its affiliates like Waymo, he has been at forefront of developing cutting-edge technologies, particularly in self-driving car technology. His work often involves complex system design, machine learning model development, perception systems, and leading large engineering teams to solve some of the most challenging problems in AI. Kevin is recognized for his deep technical expertise, strategic vision, and contributions to making autonomous vehicles a reality.
Kevin Keely's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a key leadership and engineering role in the development and advancement of self-driving car technology at Google/Waymo, contributing to core aspects of perception, prediction, and planning systems that enable safe and reliable autonomous navigation.
Successfully led and scaled engineering teams working on some of the most ambitious AI and robotics projects, fostering innovation and delivering impactful technological breakthroughs in real-world applications.
Contributed to the research and implementation of advanced machine learning models for environmental perception, object detection, and scene understanding, critical for the performance of autonomous systems.
Authored and co-authored numerous patents related to innovations in artificial intelligence, machine learning, sensor fusion, and autonomous vehicle control systems, reflecting a strong track record of invention.
California State University, Chico - Year 1995
California State University, Chico
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