Summary
Zeyu Chen is a Senior Software Engineer with nine years of experience building high-performance ML and compute systems, currently working on ML compute in Apple's Machine Learning Platform & Technology. Previously at Cruise, he scaled LLM training for autonomous vehicles, led a migration from TensorFlow to PyTorch, and delivered large-scale distributed PyTorch training using Ray while improving profiling, utilization, and cost. His background at NVIDIA includes designing GPU resource management APIs and production debugging for Linux compute, reflecting deep systems and GPU expertise. He holds an MS in Computer Engineering from Georgia Tech and a BE from Fudan, and his research experience spans applied deep learning for SAR and road extraction. An active engineer with a public GitHub and technical blog, he blends production-grade engineering with hands-on ML model and tooling work that often bridges research and operational deployment.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Georgia Institute of Technology
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at Fudan University