Xingyang Liu is a software engineer with 11 years of experience focused on autonomous driving and scalable systems, currently at Zoox after a multi-year tenure at WeRide.ai. He holds a bachelor’s in Information Security from Shanghai Jiao Tong University and an MS in Information Technology from Carnegie Mellon, blending strong academic foundations with hands-on engineering. His work spans perception and benchmark tooling—he built a flexible, scriptable benchmarking platform for model comparison and performance reporting and contributed to LiDAR-based bounding box prediction. Earlier research at NUS produced a streaming recommendation system and a Log-Structure Inverted Index, yielding a conference paper and open-source code. Based in Sunnyvale, he pairs pragmatic system design with a penchant for automating evaluation pipelines that speed iteration in safety-critical domains.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS Information Technology, Master of Science - MS Information Technology at Carnegie Mellon University
Bachelor's degree Information Security, Bachelor's degree Information Security at Shanghai Jiao Tong University
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