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 (12)
regular-expression9
state-machine8
scikit-learn5
onnx5
tensorflow5
deep-learning5
machine-learning5
pytorch5
keras4
onnxruntime4
hardware-acceleration4
ai-framework2
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
regular-expressionstate-machine
onnx/onnxmltools
May 2019 - May 2019
ONNXMLTools enables conversion of models to ONNX
Contributions:1 comment in 1 day
onnxmachine-learningpython-libraryscikit-learnkeras
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