Yi Wu
Data Engineer
New Taipei, Taiwan
Summary
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Top SchoolYi Wu is a data engineer with a strong data science foundation and eight years of experience building production-ready ML and ETL systems across fintech, media intelligence, and healthcare. She has designed on-chain fund flow pipelines, wallet risk algorithms, and real-time regulatory monitoring at Binance, and now applies that expertise to data engineering challenges at OpenNet Limited. Her background includes research-grade NLP and spellcheck improvements—retraining models to beat published baselines and shipping multi-label and Chinese script-conversion models that materially improved accuracy and cost. Yi has also built domain-specific extraction algorithms and scalable APIs for document and tabular data, supporting frequent POCs and enterprise deployments. Known for bridging research and product, she blends statistical rigor from an MS in Statistics with pragmatic engineering to turn prototypes into robust services. Based in New Taipei, Taiwan, she brings a rare mix of applied ML innovation and production data engineering experience.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Public Finance, Bachelor of Arts - BA, Public Finance at National Chengchi UniversityMaster's degree, MS, Institute of Statistic, Master's degree, MS, Institute of Statistic at National Tsing Hua University
EnglishGithub contributions (5)
WuYiJhen/Finite-island-model-simulation
Jun 2018 - Sep 2020
Contributions:12 pushes, 1 branch in 2 years 3 months
yichenwu05/nlpcc-2016-KBQA
Sep 2019 - Mar 2020
Contributions:10 commits, 9 pushes, 1 branch in 5 months
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