Chuck Tang is a Machine Learning Engineer at PyTorch since March 2025, focusing on reasoning. Prior experience includes serving as a Research Engineer at Databricks Mosaic Research, where notable contributions included being a top 10 GitHub contributor to open-source LLM training stacks and developing performance profiling tools for foundational models. Additionally, while at Applied Intuition, Chuck improved LiDAR segmentation models and led projects for customer accounts. Previous roles include positions at Berkeley Artificial Intelligence Research, Tesla, UC Berkeley College of Engineering, Quora, and Johnson & Johnson, encompassing research, teaching, and software engineering tasks. Chuck holds a Master's degree in EECS and a Bachelor of Applied Science in Computer Science from the University of California, Berkeley.
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