Ge Zhang
Changping District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolGe Zhang is an NLP researcher and engineer with six years of industry and academic experience, including NLP ethics and pre-training model work at BAAI and an MLE internship at Apple. He combines strong research grounding from roles at multiple universities and labs with production-focused engineering at Alibaba, where he now works on inference engines. His open-source work includes a full‑stack ONNX model modifier that enables visual editing of model graphs, reflecting a practical interest in model tooling and deployment. Ge is pursuing an NLP Ph.D. direction and brings cross-cultural experience from studies at UM-SJTU and the University of Michigan. Colleagues know him for bridging research and engineering—turning theoretical ideas into usable tooling for model inference and analysis.
5 years of coding experience
2 years of employment as a software developer
Dual Master's degree, Electrical & Computer Engineering and Data Science, Dual Master's degree, Electrical & Computer Engineering and Data Science at University of MichiganExchange Student, Exchange Student at UM-SJTU Joint Institute, Shanghai Jiao Tong UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beijing University of Posts and TelecommunicationsSummer Program, Summer Program at The University of British Columbia
Github Skills (11)
html10
javascript10
onnx10
front-end-development10
flask-ask9
visualizations9
flask9
editor9
visualization9
editors9
ui-design8
Programming languages (7)
Github contributions (5)
ZhangGe6/onnx-modifier
Apr 2022 - Jan 2023
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 reviews, 109 commits, 9 PRs in 9 months
Contributions summary:Ge primarily worked on improving the frontend interface and functionality of the ONNX model modifier tool. They added the `onnx.js` file and integrated it into the HTML templates and JavaScript code. They implemented features to allow users to modify the model, including the ability to delete nodes, add new nodes, change node attributes, and rename model inputs/outputs. The user also built buttons for common actions such as downloading the modified model, and integrated with flask webgui.
pythonvisualizeflaskmodifyonnx-models
Contributions:4 commits, 6 pushes, 1 branch in 11 months
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