Xiang Xu is a PhD candidate and software engineer based in Nanjing with six years of hands-on experience in machine learning engineering and backend development. He contributes to OpenMMLab's high-profile mmdetection3d project, where he has fixed nontrivial model and pipeline bugs, refactored voxelization for speed, and added type safety and test-time augmentation support. His work shows a pragmatic blend of research rigor and production focus—improving implementation correctness, documentation, and data pipelines in a widely used 3D object detection platform. Comfortable navigating low-level indexing issues and performance hotspots, he bridges academic depth with practical engineering to make complex ML systems more reliable and efficient.
OpenMMLab's next-generation platform for general 3D object detection.
Role in this project:
Back-end Developer & ML Engineer
Contributions:164 reviews, 46 commits, 119 PRs in 10 months
Contributions summary:Xiang's contributions primarily involved fixing bugs related to model implementation, including index errors within the DynamicPillarFeatureNet and issues in the roi_extractors.build function. They updated configuration files and documentation and also improved the data pipeline by adding type hints and fixing a potential bug in PointSample. Further contributions extended to refactoring voxelization for faster speed, and supporting TTA for Segmentor.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.