Yefei Huang is a software engineer with over a decade of experience designing and delivering production systems at scale, currently contributing to Microsoft after five years at Amazon. He blends system-design thinking and hands-on backend development, with a track record of refactoring and improving legacy codebases—illustrated by contributions to the NSF-supported Expertiza peer-review platform. Comfortable shipping reliable services in large organizations, he pairs supervisory experience with a pragmatic focus on solving real-world problems. A NC State alumnus with a strong academic record in software engineering, Yefei brings both technical depth and a keen eye for maintainability and workflow improvements.
12 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computer Software Engineering, 3.7, Master’s Degree, Computer Software Engineering, 3.7 at North Carolina State University
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
Role in this project:
Back-end Developer
Contributions:28 commits in 10 days
Contributions summary:Yefei primarily refactored and modified Ruby code related to the `SentenceState` class in the `app/models/automated_metareview/sentence_state.rb` file. They implemented updates to allow the `expertiza` application to run without refactoring. Additionally, the user addressed changes within the `ResponseController`, suggesting involvement in review functionalities and modifications of submission and review workflows. Furthermore, the user has also changed the `TextPreprocessing` and `application_controller.rb` files.
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