Ning Gao
Machine Learning Engineer at Google
Mountain View, California, United States
Summary
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Senior🎓
Top SchoolNing Gao is a Machine Learning Engineer at Google with a PhD in Autonomous Learning Robots from KIT and roughly nine years of experience bridging academic research and industrial AI. His work focuses on meta‑learning and self‑supervised methods to build efficient, generalizable representations for diverse robotic tasks such as grasping, 6D pose estimation, segmentation, and language-vision problems. During his doctoral research at Bosch Center for Artificial Intelligence he combined probabilistic models with deep meta‑learning for robust estimation in autonomous manipulation, and earlier projects benchmarked and extended 6DoF pose methods on synthetic industrial data. Based in Mountain View, he brings both systems-level engineering experience—from C++/MATLAB robotics code to production ML—and a researcher's rigor for systematic evaluation, making him adept at turning novel learning ideas into practical robotic solutions.
9 years of coding experience
Bachelor Automotive Engineering, Bachelor Automotive Engineering at Tongji UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Karlsruhe Institute of Technology (KIT)
English, Chinese, German, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (42)
blender10
siggraph9
synthetic9
feature-matching8
3d-reconstruction8
segmentation8
iterative8
synthetic-data8
rendering8
pose7
3d-graphics7
fusion7
computer-graphics7
voting7
arxiv7
Programming languages (4)
Github contributions (5)
boschresearch/what-matters-for-meta-learning
Mar 2022 - Jun 2022
Contributions:5 commits, 2 pushes, 1 branch in 2 months
gaobaoding/gaze_estimation
Jan 2020 - Feb 2020
Contributions:12 pushes, 1 branch in 2 days
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