Xiqiang Liu
Software Engineer at Amazon Web Services (AWS)
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXiqiang Liu is a software engineer with 11 years of experience, currently building cloud services at Amazon Web Services from San Diego. He combines a strong academic foundation—a BS in Data Science and an MS in Electrical Engineering from UC San Diego—with hands-on research that produced maintainable tooling for geospatial analysis and robotic simulation. As a research contributor at Su Lab and to the ManiSkill project, he implemented and refactored the AssemblingKits-v0 environment for GPU-parallelized manipulation benchmarks, demonstrating care for robustness and edge cases in simulation pipelines. His work spans ML engineering, research software, and production cloud systems, enabling smooth transitions from academic prototypes to scalable services. Colleagues value his pragmatic approach to refactoring and his ability to bridge domain research with production-quality code.
11 years of coding experience
3 years of employment as a software developer
University of California, San Diego
Github Skills (8)
environmental10
dev-environment10
robotics10
environ10
python10
reinforcement-learning10
enviroment10
numpy9
Programming languages (6)
Github contributions (5)
haosulab/ManiSkill
Aug 2022 - Oct 2022
SAPIEN Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 5 commits, 4 PRs in 2 months
Contributions summary:Xiqiang contributed to the `AssemblingKits-v0` environment, a core component of the robotic manipulation simulation. They added the environment, which involves loading assets, defining object poses, and evaluating task success based on object placement. Furthermore, the user refactored the `AssemblingKits-v0` environment to improve its structure and maintainability. They also made changes to the download script and the recording wrapper to handle edge cases.
manipulationroboticssapien3d-computer-visionreinforcement-learning
xiqiangliu/geodata
Nov 2022 - Jan 2023
Geospatial data collection and "pre-analysis" tools
Contributions:67 pushes, 3 branches in 2 months
wcswpsgeospatialgeographyanalysis-tools
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