Jiankun Liu
Machine Learning Engineer at Meta
California, United States
Summary
👤
Senior🎓
Top SchoolJiankun Liu is a Machine Learning Engineer based in California with 11 years of experience building production ML and NLP systems across healthcare and consumer domains. He has shipped large-scale models and data pipelines at Meta and Optum, applying Spark, H2O, AWS and deep learning to claims, clinical notes and multimodal problems. Early work includes building an open research dataset/search engine at the Center for Open Science and contributing Django back-end features to the well-known OSF.io project, demonstrating both product-facing engineering and open-source collaboration. His research background includes award-winning predictive modeling for sepsis detection, reflecting a practical blend of statistical rigor and clinical impact. Collected language and media training alongside formal math and data science education gives him a unique cross-disciplinary perspective on turning messy real-world data into actionable intelligence.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.), English and Media, Bachelor of Arts (B.A.), English and Media at University of International Business and EconomicsExchange Student, Journalism, Exchange Student, Journalism at Southern Illinois University, CarbondaleThe University of Maryland, College ParkMaster of Science (M.S.), Data Science, Admitted, starting July 2014, Master of Science (M.S.), Data Science, Admitted, starting July 2014 at University of Virginia
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
django10
python10
testing8
javascript4
Programming languages (2)
Github contributions (5)
CenterForOpenScience/osf.io
Apr 2016 - May 2016
Facilitating Open Science
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 commits, 10 PRs, 19 comments in 20 days
Contributions summary:Jiankun implemented and modified features related to user entry point tracking within the OSF.io Django application. Their primary contribution involved adding functionality to track user entry points, which required changes to the application's routing, metrics, and template files. Furthermore, the user's commits also included merging branches and updating related tests, ensuring code integration and testing stability.
pythonsciencedjango-rest-frameworkdjangojavascript
jeffreyliu3230/doclabels
Nov 2015 - Mar 2016
Contributions:34 commits, 3 PRs, 24 pushes in 4 months
nlpgradient-descentpythonstochastic-gradient-descentbatch
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