Bryan Chen

Software Engineer at alteryx

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Summary

🤩
Rockstar
Bryan Chen is a software engineer with nine years of experience specializing in machine learning and data science applications. He contributes to prominent open-source AutoML work, notably enhancing EvalML with feature engineering improvements, LightGBM integration, and clearer model-understanding documentation. Bryan combines practical ML engineering—adding thresholding for permutation importance and robust test coverage—with thoughtful refactoring to make tools more usable and maintainable. Based in the United States, he favors production-ready solutions that bridge research and application, and his contributions reveal a focus on interpretability and reproducible workflows.
code9 years of coding experience
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Github Skills (8)

scikit10
machine-learning10
feature-engineering10
python10
data-science10
scikit-learn10
lightgbm9
testing9

Programming languages (3)

ShellJupyter NotebookPython

Github contributions (5)

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alteryx/evalml

Aug 2020 - Jan 2023

EvalML is an AutoML library written in python.
Role in this project:
userML Engineer
Contributions:1 release, 984 reviews, 332 commits in 2 years 5 months
Contributions summary:Bryan's contributions primarily revolved around enhancing the EvalML AutoML library, focusing on feature engineering and machine learning model improvements. This included implementing a thresholding parameter for permutation importance graphs, replacing the "show_all_features" parameter, and adding LightGBM support. They also contributed to improved testing practices by adding thorough tests and examples, in addition to refactoring certain methods and documentation updates, notably for the model understanding section.
pythondata-sciencemodel-selectionoptimizationmachine-learning
ayanatherate/evalml

Sep 2020 - Feb 2022

EvalML is an AutoML library written in python.
Contributions:1853 commits in 1 year 5 months
pythondata-sciencemachine-learningmlopsautoml
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Bryan Chen - Software Engineer at alteryx