Yanhua Sun
Senior Staff Software Engineer at Google DeepMind
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolYanhua Sun is a Senior Staff Software Engineer based in the San Francisco Bay Area with a decade of experience building large-scale, parallel and data-processing systems at Google and Google DeepMind. He holds a PhD in Parallel Programming from UIUC and combines deep research expertise in communication optimization, runtime adaptivity, and parallel performance tuning with hands-on production work on TensorFlow and large data pipelines. At Google he has focused on scalability, auto-tuning and reducing operational complexity for big-data workflows, and his open-source contributions show practical maintenance work migrating major ML repos (e.g., TensorFlow-related projects and Google Research/Magenta) to modern compatibility layers. His background spans national labs and academic software—he was a significant developer of GridMol and has internships at LLNL and ORNL—bringing both domain-science sensitivity and systems engineering rigor. Colleagues rely on him for bridging cutting-edge research with production-grade implementations that keep complex ML and HPC stacks running smoothly.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Graduate University Chinese Academy of SciencesPhD, Parallel Programming, PhD, Parallel Programming at University of Illinois Urbana-ChampaignBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shandong University
English, Chinese
Github Skills (12)
machine-learning10
tensorflow10
python10
modeling9
model-driven-development9
model-driven9
model-building9
deep-learning8
pipeline8
pipe8
ai8
pipelining8
Programming languages (4)
Github contributions (5)
google-research/google-research
Dec 2019 - Feb 2020
Google Research
Role in this project:
ML Engineer
ML EngineerContributions:41 commits in 2 months
Contributions summary:Yanhua's contributions primarily involved updating various files to explicitly replace "import tensorflow" with "tensorflow.compat.v1". This indicates a migration effort to support TensorFlow 2.x compatibility within the project. The changes span multiple files and directories, suggesting a broad impact across the codebase. This user seems focused on the project's upkeep regarding the underlying machine learning library.
googlemachine-learningai
magenta/magenta
Dec 2019 - Feb 2020
Magenta: Music and Art Generation with Machine Intelligence
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits in 2 months
Contributions summary:Yanhua's contributions primarily involve refactoring code to align with changes in the core TensorFlow library. This involved systematically replacing instances of "import tensorflow" with "tensorflow.compat.v1" across various Python files. The user's changes impacted multiple modules, including music, models, and pipelines, ensuring compatibility with a specific version of the TensorFlow framework. This suggests a focus on maintaining and updating the codebase to adapt to evolving dependencies.
artmusic-generationgenerative-artmagentamachine-learning
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