Feng Yuan
Principal Software Engineer at Roblox
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolFeng Yuan is a Principal Software Engineer with over 8 years of experience building large-scale consumer products and device platforms, currently driving engineering at Roblox after leadership roles at YouTube and multiple teams within Google. He has led teams of ~20 to deliver complex Android and smart display experiences (Google Assistant, Pixel Tablet, Nest Hubs) and shipped cross-device client architectures, blending systems, NLP-driven interactions, and quality engineering. His early work spans front-end browser optimization and global localization pipelines, giving him deep expertise across Chromium, Android, microservices, and multilingual input systems. Feng contributes to open-source scientific tooling as a back-end and DevOps engineer on the well-known deepmodeling/dpgen project, adding AWS Batch dispatch and automation to accelerate ML-driven interatomic potential modeling. Pragmatic and infrastructure-minded, he combines product ownership with hands-on backend and deployment craft to turn research-grade tools into reliable production systems. Trained in computer science at Peking University, he brings both international product scale and low-level engineering depth.
8 years of coding experience
17 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Peking University
Github Skills (7)
aws10
python10
aws-batch10
active-learning9
deep-learning9
dockers3
docker3
Programming languages (6)
Github contributions (5)
deepmodeling/dpgen
Oct 2019 - Nov 2021
The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:31 reviews, 37 commits, 24 PRs in 2 years 1 month
Contributions summary:Feng contributed significantly to the backend infrastructure and deployment aspects of the deep learning interatomic potential generator. Their work includes the addition of an AWS dispatcher class, which allows for job submission and management on AWS Batch. The user fixed bugs and modified AWS logic to ensure proper operation. The user also worked on automatically generating a basic parameter file, streamlining the job setup process.
model-baseddeep-learningfieldforce-fieldforce
felix5572/dpti
Apr 2021 - Mar 2025
Contributions:99 pushes, 9 branches, 5 tags in 3 years 11 months
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