Yechen Hu is a physics-trained software engineer with nine years of experience blending computational research and industry internships to tackle ML, quantitative, and engineering problems. Comfortable in both code and experiment design, Yechen has applied machine learning to neuroimaging, integrated new datasets into prominent benchmarks like ChineseGLUE, and shipped practical tooling during a Google internship. They have led teams as a technical director and managing editor, demonstrating an ability to coordinate cross-functional contributors and logistics for complex projects. Based in New Jersey, Yechen combines rigorous mathematical thinking with hands-on experimentation—an "old mage of deep learning" in progress who moves fluidly between data collection, model development, and production-oriented code.
9 years of coding experience
6 years of employment as a software developer
High School, High School at Sidwell Friends School
High School Affiliated to Fudan University
Bachelor of Arts - BA Physics, Bachelor of Arts - BA Physics at Princeton University
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
Role in this project:
ML Engineer
Contributions:19 commits, 2 PRs, 17 pushes in 23 days
Contributions summary:Yechen's contributions primarily focused on integrating a new dataset, iFLYTEK, into the ChineseGLUE benchmark. This involved modifying existing code in multiple `run_classifier.py` files and adding a new configuration file to support iFLYTEK. This included creating a data processor specifically for the iFLYTEK dataset. The changes suggest a focus on expanding the benchmark's capabilities to include this new Chinese NLP dataset and enabling model training and evaluation.
Contributions:17 commits, 28 pushes, 1 branch in 1 year
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