About

Jeff Carpenter is a highly experienced Machine Learning Mechanic at Waymo, with expertise in training, frameworks, and model optimization for autonomous vehicles. He is a Software Engineer at Waymo, working on the ML Platform. Jeff has a rich background in software engineering, having worked at Google and Braintree in the past. At Google, Jeff was responsible for the source code infrastructure of Google Chrome. He also started wpt.fyi, a project to visualize web APIs to make them more compatible. Jeff added features and maintained the bug tracker, and built a natural language ML system. At Braintree, Jeff built an encrypted payment data proxy for Facebook and Pinterest (Clojure, AES). He also introduced a new Hosted Fields SDK, a novel approach to credit card forms that combined flexibility and security for merchants. This approach has since been replicated by most other payment providers. Jeff has a strong educational background, having pursued Symbolic Systems at Colby College, Computer Science at Stanford University, and studied abroad at Kansai Gaidai University in Japan. He has extensive experience in software engineering, ML, web, and infrastructure, with a total of 8.95 years of relevant experience. Jeff is a highly skilled and dedicated professional, with a proven track record of delivering high-quality work. He is passionate about using his skills to create innovative solutions that make a difference in people's lives. Jeff is a valuable asset to any team, and his expertise in ML and software engineering make him an ideal candidate for any challenging project.