Richard Wang
Software Engineer II at Amazon Web Services (AWS)
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolRichard Wang is a Software Engineer II based in Boston with 11 years of hands-on experience building distributed credential systems at AWS and contributing to production ML tooling. A Northeastern Computer Science graduate and former TA, he blends back-end systems work with front-end React experience from prior internships, delivering pragmatic, user-focused solutions. He’s an active contributor to AutoGluon’s object detection features—adding tutorials, visualizations, and dataframe-driven inputs—bringing ML ergonomics into real-world workflows. A programming-language enthusiast and Neovim aficionado, he favors thoughtful language design and developer tooling that improve productivity. Outside work he runs tabletop RPG campaigns and explores charcoal painting, a creative counterpoint that informs his collaborative approach to engineering.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Northeastern University
Github Skills (11)
pandas10
object-detection10
computer-vision10
pytorch10
machine-learning10
automated-machine-learning10
python10
scikit8
scikit-learn8
data-science8
ensemble-learning7
Programming languages (2)
Github contributions (5)
autogluon/autogluon
Nov 2022 - Jan 2023
Fast and Accurate ML in 3 Lines of Code
Role in this project:
ML Engineer
ML EngineerContributions:133 reviews, 7 commits, 46 PRs in 2 months
Contributions summary:Richard primarily focused on enhancing the object detection capabilities of the AutoGluon project. Their contributions included adding tutorials, implementing visualization tools, and refactoring existing object detection functionalities. They also integrated support for different input formats for object detection tasks, including dataframes, and made improvements to the overall user experience for object detection models.
machine-learningautomldata-sciencedeep-learningensemble-learning
yongxinw/yongxinw.github.io
Dec 2019 - Jan 2025
Contributions:17 pushes, 2 branches in 5 years 2 months
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