Qihang Chen
Software Engineer at Google
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolQihang is a software engineer based in Sunnyvale, California with four years of hands-on experience building reliable back-end systems. He contributes to high-profile open-source projects like TensorBoard, where he has improved backend robustness by fixing JSON parsing edge cases, preventing 500 errors in plugins, and adding types for metrics data sources. Comfortable working in production code and build systems, he has also modified Blaze build files and small UX touches, showing attention to both infrastructure and product quality. Known on GitHub simply as "yet another software engineer," he brings pragmatic problem-solving to stabilize complex ML tooling and reduce runtime failures.
4 years of coding experience
6 years of employment as a software developer
BS, Computer Science, 3.8, BS, Computer Science, 3.8 at Tongji UniversityMaster's Degree, Computer Science, 3.65, Master's Degree, Computer Science, 3.65 at University of Pittsburgh
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
tensorboard10
json10
python10
blaze10
protobuffer9
protobuf9
build-automation9
typescript8
typescripts8
typescript-types8
angular7
Programming languages (1)
Github contributions (5)
tensorflow/tensorboard
Oct 2022 - Dec 2022
TensorFlow's Visualization Toolkit
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 reviews, 4 commits, 17 PRs in 2 months
Contributions summary:Qihang primarily focused on improving the robustness and stability of the TensorBoard backend. Their contributions include handling JSON parsing errors in the HParams plugin, preventing 500 errors by avoiding the parsing of problematic metadata in the Text Plugin, and adding types for metrics data sources. Furthermore, they added an open_in_new icon. The user also made modifications to Blaze build files to include load statements.
machine-learningtensorflowvisualization
qihach64/tensorboard
Jun 2022 - Sep 2024
TensorFlow's Visualization Toolkit
Contributions:50 pushes, 7 branches in 2 years 3 months
machine-learningtensorflowvisualization
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