Jiun Yen
Software Engineer - Machine Learning at Meta
San Carlos, California, United States
Summary
👤
Senior🎓
Top SchoolJiun Yen is a machine learning engineer with nine years of experience building production ML systems, now at Meta after driving recommendation quality at iHeartMedia. He blends deep academic training—a Ph.D. in Biological Systems Engineering—with hands-on work deploying models and ETL pipelines in the AWS ecosystem. Jiun has a track record improving recommendation CTRs (notably >20% overall and >95% for cold-start at iHeartMedia) and shipping APIs and scalable infrastructure for both consumer and scientific applications. His background in computational biology and protein classification informs a data-centric approach to highly imbalanced, multi-label problems. Based in San Carlos, he favors collaborative, experiment-driven teams and routinely prototypes novel methodologies to push recommendation performance. Colleagues describe him as a practical researcher who moves models from lab prototypes to robust production services.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biological Systems Engineering, Doctor of Philosophy (Ph.D.) Biological Systems Engineering at Virginia Tech
Chinese, English
Github Skills (18)
stock9
api9
financial-data8
transcriptomics8
finance8
financial8
cheminformatics7
metabolic-models7
constraint7
python7
rdkit6
cobra5
toolbox5
wxwidgets4
optimisation4
Programming languages (3)
Github contributions (5)
qks1lver/redtide
Aug 2018 - May 2020
For compiling financial data and stock prices, Robinhood API, tradebot... etc
Contributions:2 commits, 2 PRs, 47 pushes in 1 year 9 months
financialapistock-marketpythonstock-prices
qks1lver/filetracker
Jun 2018 - Oct 2019
Super lightweight program to keep track of files you already have
Contributions:8 commits, 2 PRs, 4 pushes in 1 year 4 months
wxwidgetskeepwindowslinuxcross-platform
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