Shan-jyun Wu
Data Scientist
Taoyuan City, Taiwan
Summary
👤
Senior🎓
Top SchoolShan-jyun Wu is a data scientist with a decade of technical experience marrying academic research and production ML systems across Taiwan’s industry and universities. He has built generative and discriminative deep learning models—from a VAE-based sketch-teaching system deployed in-browser with TensorFlow.js to CNN-Transformer architectures and time-series classifiers for manufacturing. In industry he designed ML tools and web apps (XGBoost, Streamlit, Azure, SageMaker) to surface parameter importance for fab users and shipped a pointwise recommender that achieved overall NDCG > 0.9. His background in physics and NLP coursework gives him strong analytical rigor, while published work on AI in education and a paper on statistical linguistics reflect a persistent research mindset. Comfortable moving models from prototype to production, he combines hands-on model design with practical deployment and user-facing tooling. Based in Taoyuan, he brings a rare blend of education-focused generative modeling and manufacturing-scale applied ML.
10 years of coding experience
12 years of employment as a software developer
Certificate of Completion, Natural Language Processing, Pass, Certificate of Completion, Natural Language Processing, Pass at UdacityMaster of Science (M.S.), Physics, Major GPA: 4.03/4.33, Overall GPA : 3.66/4.33, Master of Science (M.S.), Physics, Major GPA: 4.03/4.33, Overall GPA : 3.66/4.33 at National Tsing Hua University
Chinese, English
Github Skills (9)
issue-tracking6
music5
javascript4
machine-learning4
anaconda4
browser4
magenta4
deep-learning1
tensorflow1
Programming languages (1)
Github contributions (5)
shanjgit/getting_and_cleaning_data_project
May 2016 - Sep 2018
Contributions:8 pushes, 1 branch in 2 years 4 months
shanjgit/TransformerVAE-for-Sketch-Tutoring
Sep 2020 - Aug 2024
Contributions:10 pushes in 4 years
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