Yechen Hu
New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolYechen 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 SchoolHigh School Affiliated to Fudan UniversityBachelor of Arts - BA Physics, Bachelor of Arts - BA Physics at Princeton University
Spanish, Chinese, English
Github Skills (7)
nlp10
python10
natural-language-processing10
data-processing10
datasets10
bert9
pre-trained-model8
Programming languages (4)
Github contributions (5)
ChineseGLUE/ChineseGLUE
Oct 2019 - Nov 2019
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
Role in this project:
ML Engineer
ML EngineerContributions: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.
language-understandingpre-trained-modelgluebertchinese-corpus
yechens/COVID-19-sentence-pair
Jan 2021 - Jun 2022
天池 新冠疫情相似句对判定大赛 top6方案
Contributions:6 commits, 8 pushes, 1 branch in 1 year 5 months
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