Qiao L
Machine Learning Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolQiao L is a Machine Learning Engineer based in New York with over a decade of technical experience and more than three years focused on machine learning, deep learning, and production software development. Currently at Meta, they bring a strong research-to-production background from roles as a data/research scientist at CUNY where they built end-to-end data mining pipelines, automated model training, and translated domain problems into deployable solutions for pharmaceutical insights. Their PhD in Computational Biology and MS coursework in Computer Science underpin a specialty in mining heterogeneous, large-scale scientific datasets and applying cutting-edge models to real-world drug development questions. Comfortable across data engineering, model prototyping, and deployment, Qiao blends academic rigor with industry best practices to deliver actionable, automated ML systems. An understated strength is their history of rapidly validating prototypes into demos and production-ready pipelines, enabling fast, data-driven decision making.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS(non-matriculated), Computer Science, 4.00, Master of Science - MS(non-matriculated), Computer Science, 4.00 at New York UniversityDoctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at City University of New York
Github Skills (2)
cpp9
cpp-library8
Programming languages (2)
Github contributions (5)
qiaoliuhub/AttnToCrispr
Sep 2019 - Jul 2020
Contributions:87 commits, 2 PRs, 60 pushes in 10 months
qiaoliuhub/MultiDCP
Aug 2020 - Aug 2021
Contributions:145 commits, 13 pushes in 1 year
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