Ke Zhang
Applied Scientist at Amazon Lab126
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolKe Zhang is an applied scientist at Amazon Lab126 with nine years of research and engineering experience building machine learning and computer vision systems, particularly in deep learning, structured prediction, and video understanding. His academic track record includes MS-level research at Fudan University and USC with multiple selective oral presentations at IJCAI and AAAI, highlighting work on semantic segmentation and multi-view embedding. At Lab126 he applies research-grade methods to product-facing problems, bridging rigorous publications-grade thinking with practical deployment. Ke’s background includes industry research internships (A9) and competitive recognition in national and international forums, suggesting a strong ability to communicate and translate novel ideas into working systems. Based in Bellevue, WA, he brings both academic depth and applied experience in visual understanding problems that power consumer devices.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern CaliforniaMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at Fudan University
Github Skills (12)
pointnet7
hierarchical6
segmentation6
classification6
autoencoder5
deep-learning4
point-cloud4
pytorch3
computer-vision3
neural-network3
geometry-processing3
tensorflow3
Programming languages (1)
Github contributions (5)
kezhang-cs/Video-Summarization-with-LSTM
Mar 2017 - Apr 2017
Contributions:11 commits, 9 pushes, 1 branch in 25 days
KeondoPark/votenet_tf
Aug 2023 - Sep 2023
Contributions:2 comments, 3 issues in 25 days
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