William Wen is a software engineer with a comprehensive background in optimizing and developing tools for machine learning and computer vision. Experience includes a role at Waabi as a Software Engineer Intern, where runtime for self-driving vehicle simulations was reduced by 80% through various code optimization techniques. At Uber, William designed tools for researchers, including a PyTorch profiler and a build manager for mesh algorithms. Currently, William works at Meta building PyTorch 2.0. Previous internships include Petuum, Inc., where William implemented a synchronized batch normalization layer and maintained a distributed machine learning framework, and Wish, where user experience for an automatic customer support system was revamped and backend logic for promotions was managed. Education includes a Bachelor's degree in Computer Science from the University of Waterloo.