Zijie Wang
Member Of Technical Staff at OpenAI
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolZijie Wang is a safety researcher and Member of Technical Staff at OpenAI with a decade of experience building human-centered AI tools that make machine learning more accessible, interpretable, and accountable. He earned a PhD from Georgia Tech focused on interactive visual analytics and has interned at Google, Apple, Microsoft, and Bosch, translating research into practical tooling for model evaluation and responsible ML. Zijie is a full‑stack contributor to open-source projects like diffusiondb and cnn-explainer, blending frontend visualization work with backend data engineering and dataset tooling for large-scale text-to-image research. He excels at bridging research and product: designing delightful interactive interfaces that help engineers and non-experts alike probe and improve models at scale. Based in San Francisco, he pairs rigorous academic training with hands-on engineering chops and a subtle sense of humor — life’s not always 🦄 and 🌈, but he keeps a wink handy.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science (Honors) Statistics (Honors) Mathmatics, Bachelor of Science (B.S.) Computer Science (Honors) Statistics (Honors) Mathmatics at University of Wisconsin-MadisonDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Georgia Institute of Technology
English, Chinese, Japanese, Chinese
Stackoverflow
2,722reputation
788kreached
16answers
66questions
Github Skills (27)
javascript10
convolutional-neural-networks10
python10
machine-learning10
beautifulsoup10
webscraping10
deeplearning-ai10
deep-learning10
data-processing10
neural-network10
d3js10
json9
svelte9
prompt-engineering8
css8
Programming languages (21)
Github contributions (5)
poloclub/diffusiondb
Oct 2022 - Jan 2023
A large-scale text-to-image prompt gallery dataset based on Stable Diffusion
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:3 reviews, 52 commits, 5 PRs in 2 months
Contributions summary:Zijie implemented a scraping script to extract data, specifically chat logs, likely for the dataset. They also added a compression script, suggesting work on data management and optimization. Additionally, the user made changes to the project's frontend, including adding a favicon and OG/Twitter preview images, indicating involvement in both backend data processing and frontend presentation. Furthermore, the user worked on the dataset loading script by adding configuration options.
pytorchai-artscale-textdeep-learningdataset
poloclub/cnn-explainer
Nov 2019 - Oct 2022
Learning Convolutional Neural Networks with Interactive Visualization.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:4 releases, 279 commits, 7 PRs in 3 years
Contributions summary:Zijie contributed to the front-end of the project by adding example code for d3. They restructured the project's assets by reorganizing the location of CSS and JavaScript files. Furthermore, the user initiated the implementation of the neural network structure and made enhancements such as saving the output as a 2D array and implementing convolution and ReLU functions, directly impacting the core functionality of the CNN explainer. They also updated the project to work with real images, showcasing integration of the user interface with model outputs.
interactive-visualizationdeep-learningconvolutionalmachine-learningneural-networks
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