Shengyu Zhu
Summary
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RockstarHuawei Zhu is a machine learning engineer with 8 years of experience building autonomy stacks for self-driving vehicles, currently focused on generative AI motion planning at Helm.ai. He has driven end-to-end ML efforts—from research on behavior and occlusion-aware motion planning at Huawei Noah’s Ark Lab to deploying PyTorch/C++ models into production at Torc Robotics. His work blends academic rigor (PhD candidacy at McMaster) with pragmatic system engineering, including dataset quality analysis, model evaluation pipelines, and finetuning leadership. Known for implementing hierarchical behavior planners and kinematically-constrained prediction models, he bridges planning and prediction to improve safety in complex urban scenarios. Based in the San Francisco Bay Area, he pairs a research mindset with hands-on production deployment experience, often translating novel algorithms into robust C++/LibTorch systems. An INFJ-A, he brings a thoughtful, systems-oriented approach to solving hard autonomy problems.
8 years of coding experience
Github Skills (8)
graph10
statistics10
machine-learning10
causality10
causal-discovery10
python10
causal-inference10
ai9
Programming languages (1)
Github contributions (5)
zhushy/causal-datasets
Mar 2020 - Apr 2020
Datasets for Causal-Structure-Learning Repo
Contributions:10 commits, 9 pushes, 1 branch in 1 month
zhushy/test_trustworthy
Mar 2020 - Mar 2020
Contributions:2 pushes in 1 day
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