Summary
Woodrow Wang is a software engineer with 10 years of experience applying machine learning to real-world systems, currently training and deploying CNNs, GNNs, and Transformer models on-vehicle at Zoox for trajectory prediction and planning. A Stanford M.S./B.S. in computer science with a mathematics minor, he blends academic research—stable multi-agent RL, human driving behavior modeling, and intuitive teleoperation—with production engineering. His internships at Apple and Microsoft produced ML prototypes that shipped into platform features and analytics pipelines, demonstrating fluency across C++, Python, PyTorch, and Azure. He has extensive teaching and course assistant experience at Stanford, helping scale AI and algorithms education to hundreds of students. Notably, his work bridges edge-constrained model deployment and cutting-edge perception/planning research, enabling systems that run safely in real time on autonomous vehicles. Based in College Station, Texas, he combines rigorous research instincts with pragmatic, production-first engineering.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Stanford University