Yiqun Fu is a Senior Machine Learning Engineer based in Beijing with nine years of experience building production-grade robotics and autonomous driving systems. He has shipped high-impact features at Huawei (early 5G Massive MIMO) and Baidu Apollo, where he led QA for open-source releases, designed VectorNet/TNT-based prediction models, and saved significant CI costs through automation. At AutoX he worked on interactive prediction, planning, and inverse reinforcement learning, and he now contributes ML expertise to NVIDIA. He is a pragmatic full-stack ML engineer who moves models from data pipelines and CI to deployed autonomy stacks, and his GitHub contributions include debugging and evaluation tooling for the widely used Apollo platform. Academically grounded with advanced degrees and international study in robotics and innovation management, he combines deep systems experience with an inventors’ mindset—evident from a top-ranked machine learning idea at Huawei. Open to opportunities that merge robotics, AI research, and real-world product engineering.
9 years of coding experience
8 years of employment as a software developer
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at University of Science and Technology of China
Exchange Student, Exchange Student at National Taiwan University of Science and Technology
Bachelor's degree Automation, Bachelor's degree Automation at University of Science and Technology Beijing
Guest Student Mechatronics Robotics and Automation Engineering, Guest Student Mechatronics Robotics and Automation Engineering at Chinese Academy of Sciences
Master's degree Engineering & Technology Innovation Management, Master's degree Engineering & Technology Innovation Management at Carnegie Mellon University
Contributions:19 reviews, 37 commits, 30 PRs in 3 years
Contributions summary:Yiqun primarily contributed to the `apolloauto/apollo` repository, an open autonomous driving platform. Their work focused on modifying the `body_sensation_evaluation.py` file to fix bugs. They made other changes to the codebase, specifically adding a tool for evaluating body sensation and updating indent problems in the `dump_road_test_log.py` file. The user's commits demonstrate their involvement in the development and debugging of core functionalities within the Apollo platform.
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Yiqun Fu - Senior Machine Learning Engineer at NVIDIA