Siyu Yang
Software Engineer, Machine Learning at Meta
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolSiyu Yang is a software engineer specializing in machine learning with 11 years of experience building and scaling ML systems at scale across Microsoft and Meta. Currently focused on AI infrastructure and PyTorch model inference on hardware accelerators at Meta, she previously led migrations from Caffe2 to PyTorch and modernized training pipelines for ads recommendation models. Her background blends applied computer vision for environmental science at Microsoft’s AI for Earth with tooling and API deployments that supported researchers and partner organizations. With an MS in Computer Science from the University of Washington and a BSE in Electrical Engineering from Princeton, she combines strong systems engineering with domain-savvy ML research. A practical problem-solver, she often operates at the intersection of model development, production infrastructure, and developer-facing tooling.
11 years of coding experience
8 years of employment as a software developer
MS Computer Science, MS Computer Science at University of WashingtonBSE Electrical Engineering, BSE Electrical Engineering at Princeton University
English, Chinese, French
Stackoverflow
352reputation
25kreached
4answers
0questions
Github Skills (97)
python10
detectors10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
numpy10
classifiers10
neural-network10
computer-vision10
azure10
tensor10
predict10
tensorflow10
autograd10
Programming languages (7)
Github contributions (5)
microsoft/landcover-orinoquia
Sep 2020 - Mar 2021
Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project
Contributions:23 commits, 6 PRs, 16 pushes in 5 months
wildlife-conservationland-covercollaborationregionmapping
yangsiyu007/SpaceNetExploration
Aug 2018 - Oct 2019
A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from the SpaceNet Challenge.
Contributions:16 commits, 6 PRs, 14 pushes in 1 year 2 months
pytorchsemanticsemantic-segmentationdeep-learningsatellite
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