Yu-hsuan Lin is a software engineer and Northeastern University MS candidate with 11 years of experience who blends practical ML engineering with backend systems work to solve real-world problems. She improved eBay’s tax-category prediction to 88% accuracy using PyTorch, BERT, and NLP pipelines, and designed auto-labeling and metrics that materially increased labeling efficiency and operational throughput. Her open-source contributions include refactoring the engine.io-client-java WebSocket transport to use OkHttp, improving robustness and connection handling in a widely used Java library. Comfortable across data pipelines, PySpark, and full-stack projects, she has led a five-person team to deliver a production-ready website with automated testing. Now based in Seattle and recently hired at AWS, she’s seeking software roles where fast learning and cross-functional collaboration accelerate impact.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Business Administration and Management, General, Bachelor's degree, Business Administration and Management, General at National Taiwan University
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Northeastern University
Contributions:14 commits, 10 PRs, 1 push in 2 years 2 months
Contributions summary:Yu-hsuan primarily focused on refactoring the WebSocket implementation in the engine.io-client-java library. Their contributions involved replacing the existing Java-WebSocket library with OkHttp for WebSocket communication, enhancing error handling, and improving the overall robustness of the WebSocket transport. Furthermore, the user addressed issues related to request headers and the proper closing of WebSocket connections.
Library to stream in rtmp and rtsp for Android. All code in Java
Contributions:15 releases, 4 PRs, 19 pushes in 1 year 8 months
rtmprtpandroidrtspstream
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