JiguangShen
Applied Scientist at Microsoft
Bellevue, Washington, United States
Summary
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RockstarApplied Scientist based in Bellevue, Washington with seven years of experience applying machine learning and data-driven methods to real-world problems. Comfortable bridging research and engineering, they translate experimental models into production-ready solutions while keeping an eye on scalable system design. Their background suggests a strong applied focus rather than pure research, favoring pragmatic model selection and reproducible pipelines. Known for steady contributions in professional settings rather than public open-source footprints, they bring consistent delivery and domain-focused problem solving to cross-functional teams.
7 years of coding experience
Github Skills (19)
regular-expression8
pytorch7
similarity7
machine-learning7
state-machine7
keras7
nlp6
deep-learning6
tensorflow6
scikit-learn6
onnx6
manipulation6
lightning6
high-performance5
accelerator4
Programming languages (2)
Github contributions (3)
microsoft/BlingFire
Mar 2019 - Mar 2019
A lightning fast Finite State machine and REgular expression manipulation library.
Contributions:1 review, 3 commits, 1 PR in 1 day
manipulationmanipulation-librarynlpfinite-statelightning
onnx/onnxmltools
May 2019 - May 2019
ONNXMLTools enables conversion of models to ONNX
Contributions:1 comment in 1 day
python-librarypytorchdeep-learningmachine-learningonnx
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