Xiuye Gu
Research Software Engineer at Google DeepMind
United States
Summary
🤩
Rockstar🎓
Top SchoolXiuye Gu is a Research Software Engineer with 11 years of experience building and deploying cutting-edge AI systems, currently working at Google DeepMind after roles as an AI Resident and Research Software Engineer at Google. Trained at Zhejiang University and Stanford (MS in Computer Science), she blends rigorous academic research with production-grade engineering and maintains an active research presence via Google Scholar and a personal website. Her background suggests strong expertise in scalable ML research infrastructure and reproducible experimentation, likely contributing to internal research-to-product pipelines. Outside core engineering, she shares work publicly on GitHub and Twitter, signaling commitment to openness and community engagement in AI research.
11 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Zhejiang UniversityMaster's degree Computer Science, Master's degree Computer Science at Stanford University
Stackoverflow
21reputation
734reached
0answers
1question
Github Skills (127)
lattice10
python10
deep-learning10
gpu10
neural-network10
scene10
tensorflow10
scenic10
hierarchical10
machine-learning10
calculator9
numpy9
ml9
acceleration9
scale9
Programming languages (6)
Github contributions (5)
laoreja/HPLFlowNet
Apr 2019 - Dec 2020
Code for our CVPR 2019 paper, HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds.
Contributions:15 commits, 2 PRs, 13 pushes in 1 year 9 months
pytorchpoint-cloudsdeep-learninglatticecomputer-vision
laoreja/laoreja.github.io
Dec 2016 - Mar 2025
Contributions:20 pushes, 1 branch in 8 years 4 months
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