Kevin Zhang is a Machine Learning Engineer with a decade of experience building deployed robotics and autonomous driving systems, currently contributing to Google from Sunnyvale. He specializes in applied ML, mobile robotics, and human-robot interaction, with a track record of turning research into production: at Toyota Research Institute he led end-to-end ML pipelines, improved on-vehicle prediction accuracy by 19%, and shipped an automated cloud tool (FAST) that became the driving division’s atomic data unit. Earlier roles include designing a patent-pending warehouse robotics architecture at Amazon Robotics and prototyping learning-based planners and sensor-fusion tools at nuTonomy, demonstrating an ability to bridge simulation, cloud, and on-vehicle stacks. Kevin combines deep technical fluency with product-focused engineering—shipping full-stack firmware and scalable data systems that accelerate development cycles from hours to seconds. He holds a BS in Computational Robotics Engineering from Olin College and is motivated by applying state-of-the-art robotics research to real-world autonomy challenges.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree of Science, Computational Robotics Engineering, GPA 3.90 out of 4.0, Bachelor's degree of Science, Computational Robotics Engineering, GPA 3.90 out of 4.0 at Franklin W. Olin College of Engineering
Honors Diploma, Engineering, GPA 5.859 out of 6.0, Honors Diploma, Engineering, GPA 5.859 out of 6.0 at Clements High School
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