Tairui Wang is a Staff Software Engineer with 11 years of experience specializing in large-scale machine learning systems, AI infrastructure, and vision-based robotics. Based in Mountain View, he has led MLOps and distributed training performance work at XPENG and now builds AI infrastructure at Rivian, bringing practical expertise in scalable ML platforms and Kubernetes-based deployment. His background blends research and engineering—from CMU robotics and publications on vision-based autonomous driving to building distributed TensorFlow tooling and simulation-to-real domain transfer methods. Notably, he has implemented execution graph interfaces and a distributed deep learning library that bridge research prototypes and production ML pipelines.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Automation, Bachelor of Science (B.S.) Automation at Jiangsu University of Science and Technology
Master of Science of Robotics Technology School of Computer Science, Master of Science of Robotics Technology School of Computer Science at Carnegie Mellon University
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Contributions:1 review, 28 commits, 2 PRs in 1 month
Contributions:2 PRs, 2 pushes, 2 branches in 1 day
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