Rahul Rawat is a software engineer specializing in machine learning platforms with 11 years of experience building robot-focused perception and control systems. Currently at Zoox, he brings deep hands-on expertise in model-free learning and policy optimization for robotic manipulators developed over multiple roles at Symbio Robotics. His background in mechatronics from the University of Waterloo and early internships across robotics and manufacturing (Clearpath, Magna, Apple) give him a strong systems-level view bridging hardware, control theory, and ML. He’s passionate about computer vision and practical ML applications, routinely turning research ideas into production-ready automation solutions. Colleagues know him for marrying rigorous experimentation with deployment-minded engineering, often favoring policy-centric approaches that simplify real-world robot behavior. Based in Emeryville, CA, he combines startup agility with experience delivering industrial-scale robotics software.
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