Boyuan Gong
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolBoyuan Gong is a data-driven software engineer with 9 years of experience applying Python, MySQL, web scraping, and ML techniques to real-world problems across aviation, academia, and open-source. He has improved air traffic data processing and surveillance performance through analytic tooling and system automation, and boosted data pipeline speed and accuracy in news-sentiment projects using Beautiful Soup and VADER. As an ML engineer contributor to the well-known AutoML project AutoKeras, he implemented and tested a TextRegressor including target transforms and unit tests, demonstrating an ability to ship production-quality model components. Boyuan pairs domain knowledge in air transportation with practical engineering skills to design operational improvements—such as departure procedures and schedule analyses—that tangibly increased efficiency. Based in the New York City area, he blends research-oriented rigor with hands-on coding and a track record of measurable impact. An unassuming detail: his background spans both policy-facing aviation advising and open-source ML engineering, a mix that helps translate complex data insights into operational decisions.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Air Transportation, Bachelor's degree, Air Transportation at Nanjing University of Aeronautics and Astronautics
Github Skills (12)
keras10
machine-learning10
deeplearning-ai10
deep-learning10
automl10
tensorflow10
python10
testing9
scikit8
scikit-learn8
neural-architecture-search8
nlp7
Programming languages (3)
Github contributions (5)
keras-team/autokeras
Nov 2018 - Mar 2019
AutoML library for deep learning
Role in this project:
ML Engineer
ML EngineerContributions:16 commits, 18 PRs, 90 pushes in 4 months
Contributions summary:Boyuan contributed to the development of `autokeras`, an AutoML library for deep learning, by adding and testing a text regressor. They implemented the `TextRegressor` class, including loss and metric properties, and methods for transforming and inverse-transforming the target variable. The user also made changes to the codebase to improve documentation and added unit tests to ensure functionality.
pytorchpythondeep-learningautomated-machine-learningneural-architecture-search
boyuangong/boyuangong.github.io
Mar 2017 - May 2018
Contributions:47 pushes, 1 branch in 1 year 1 month
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