Winnie Tsang
Senior Performance Analyst at Dell EMC
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolWinnie Tsang is a senior performance analyst and seasoned software engineer with over 15 years in IT and 11 years of recent hands-on experience in cloud and open-source machine learning interoperability. She has driven end-to-end development, performance testing, and optimization across IBM Cloud, OpenStack, Kubernetes, and storage systems, and now applies that expertise at Dell EMC. Winnie is a prolific ONNX-TensorFlow contributor and maintainer who implemented dynamic-shape support, operator updates, and user-friendly tooling (including Docker images and tutorials) to lower adoption barriers for the community. Her background spans low-level C/C++ test suites, Java-based test infrastructure (including a patented tape-simulator approach), and performance studies that informed autoscaling and product tuning. Fluent in Cantonese and Mandarin and skilled at stakeholder collaboration, she blends deep technical craft with community mentorship and a track record of turning complex requirements into reproducible, production-ready solutions.
11 years of coding experience
20 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of South Florida
Chinese, English
Github Skills (57)
pytorch10
interoperability10
python10
mxnet10
machine-learning10
onnx10
ml10
keras10
deep-learning10
tensorflow10
scikit-learn10
neural-network10
backend10
data-science9
tensorflow-model9
Programming languages (6)
Github contributions (5)
winnietsang/onnx-tensorflow
Sep 2018 - Jan 2021
Tensorflow Backend and Frontend for ONNX
Contributions:621 pushes, 173 branches in 2 years 4 months
onnxbackendfrontendtensorflowkeras
winnietsang/handson-tensorflow
Aug 2017 - Sep 2017
Contributions:47 commits, 46 pushes, 1 branch in 1 month
handshands-ontensorflow
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