Zhekai Xu
United States
Summary
🤩
Rockstar🎓
Top SchoolZhekai Xu is an embedded systems and computer vision engineer with 11 years of hands-on experience bridging hardware and AI-driven software, holding dual bachelor’s degrees from Shanghai Jiao Tong University and the University of Michigan. He has applied C++, Python, and embedded platform expertise in automotive and research settings—from STMicroelectronics automotive applications to an SJTU capstone with General Motors—while contributing to robotics design and platform testing. His research background includes GAN-based restoration of ancient Chinese paintings, and his GitHub focus spans deep learning topics such as object detection, image classification, and image retrieval. Comfortable working across mechanical design, firmware, and vision models, he brings a rare mix of system-level engineering and applied ML for perception-driven embedded products.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at University of MichiganBachelor's degree, ENGINEERING, Bachelor's degree, ENGINEERING at UM-SJTU Joint Institute, Shanghai Jiao Tong UniversityBachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at Shanghai Jiao Tong University
Github Skills (38)
pytorch10
text-recognition10
toolbox10
tensorrt10
semantic-segmentation10
scene-text10
segmentation10
scene10
object-detection10
backbone10
deploying9
semantic9
computer-vision9
deep-learning8
sdk8
Programming languages (2)
Github contributions (5)
ZhaoJ9014/ObjectDetection-OneStageDet
Dec 2018 - Jan 2019
Contributions:35 commits in 9 days
Media-Smart/vedaseg
Nov 2019 - Aug 2021
A semantic segmentation toolbox based on PyTorch
Contributions:1 release, 64 commits, 12 PRs in 1 year 9 months
pytorchsemanticpspnetsemantic-segmentationdeep-learning
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