Jeff Wang
Senior Staff Engineer at Baidu USA
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJeff Wang is a Senior Staff Engineer based in San Jose with eight years of hands-on experience building mobile apps for iOS and Android and a longer software career stretching back through senior roles at Fitbit and YP. At Baidu USA he blends mobile expertise with systems and DevOps sensibilities, contributing to CI/CD and deployment automation for large projects. An active open-source contributor to PaddlePaddle, he has improved model training/inference flows, migrated frontends to modern frameworks, and helped ship documentation and tooling for a major deep learning ecosystem. Comfortable across full-stack frontend work, backend integration, and ML engineering, he’s as likely to refactor a Trainer/Inferencer as to implement a Vue.js visualization component. Known for pragmatic engineering and attention to reproducible builds, he brings production-grade rigor to both mobile and ML platforms. A UC Davis computer science graduate, he pairs product-focus with an uncommon mix of mobile, DevOps, and machine learning contributions.
8 years of coding experience
10 years of employment as a software developer
BS, Computer Science, BS, Computer Science at UC Davis
English, Chinese, Japanese
Github Skills (37)
github-ci10
javascript10
docker10
python10
css10
machine-learning10
bash10
dockers10
cicd10
deeplearning-ai10
script10
deep-learning10
front-end-development10
vue10
html10
Programming languages (7)
Github contributions (5)
PaddlePaddle/book
Nov 2017 - Oct 2018
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
Role in this project:
ML Engineer
ML EngineerContributions:36 commits, 21 PRs, 12 pushes in 10 months
Contributions summary:Jeff primarily contributed to the `01.fit_a_line` and `02.recognize_digits` chapters of the book, focused on the PaddlePaddle framework. They updated and refactored the code in `01.fit_a_line/infer.py` for model inference and used the uci_housing dataset. Also, they updated the chapter of recognize digits with a new API and fix the functions. Furthermore, the user addressed the white space issues and updated the document to fit the code style.
deep-learningpytorchpaddlepaddletensorflow
PaddlePaddle/VisualDL
Jan 2018 - Jul 2018
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:63 commits, 142 PRs, 79 pushes in 5 months
Contributions summary:Jeff primarily contributed to the frontend development of the VisualDL toolkit. Their work involved migrating the frontend from San to Vue.js, implementing UI components for high-dimensional embeddings, scalar charts, and text previews. They also connected the frontend to the backend, enabling data fetching and display, and improved the user interface with features like zoom controls and image downloads. Furthermore, the user improved the overall user experience with time display and search functions.
pytorchdeep-learningpaddlepaddlecomputer-visiononnx
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