Sarah Wang
Software Engineer II at Datadog
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolSarah Wang is a Software Engineer II at Datadog with nine years of hands-on experience building developer tooling, automation, and agent onboarding systems. A Yale CS graduate and former Meta intern, she has improved the reliability and developer experience of PyTorch and automated promotion workflows for the pytorch/pytorch repo to ensure only stable commits reach critical branches. Her background spans full-stack startup work, materials chemistry prototyping at a naval lab, and leadership of a national high-school hackathon, reflecting a rare blend of systems engineering, scientific curiosity, and product instinct. Based in New York, she balances technical rigor with community impact—coaching peers as a TA and volunteering locally—while pursuing interests in neuroscience, materials science, and computational chemistry.
9 years of coding experience
3 years of employment as a software developer
Advanced Diploma 4.60/4.0, Advanced Diploma 4.60/4.0 at Thomas Jefferson High School for Science and TechnologyBachelor of Science Computer Science, Bachelor of Science Computer Science at Yale University
English, Chinese
Github Skills (12)
git10
automation10
github-ci10
automations10
githubaction-workflow10
python10
testing9
machine-learning4
deep-learning4
autograd3
gpu3
tensor3
Programming languages (13)
Github contributions (5)
pytorch/pytorch
May 2022 - Jul 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Automation Engineer
Automation EngineerContributions:6 reviews, 70 commits, 20 PRs in 2 months
Contributions summary:Sarah's primary contribution focused on automating and streamlining the workflow for promoting commits to the 'viable/strict' branch. Their work included developing scripts and test cases to determine if a commit is "green" (promote-able), and integrating this into a GitHub Actions workflow. The user also refactored the commit retrieval process for efficiency. This work improved the automation of the promotion process and ensured that only stable commits were added.
pythongpu-accelerationdeep-learninggpunumpy
swang392/pytorch
May 2022 - Jul 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:5 PRs, 84 pushes, 24 branches in 2 months
pythongpu-accelerationdeep-learninggpuacceleration
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