Mingjie Qian
Senior Applied Scientist at UiPath
United States
Summary
👤
Senior🎓
Top SchoolMingjie Qian is a Senior Applied Scientist with 13 years of experience building production-scale ML systems across top tech companies including UiPath, Meta, Microsoft, and Yahoo Research. He specializes in ranking, retrieval, and representation learning—delivering measurable online gains (e.g., CTR, eDAP) through graph learning, recurrent training, unbiased ranking, and feature/embedding engineering. Mingjie has a strong research-to-production track record: shipping sequence models and BERT fine-tuning for Bing, leading FB Reels embedding from 0→1, and deploying recurrent training pipelines and pairwise rankers that improved core metrics. He holds a Ph.D. in Computer Science from UIUC and dual degrees from Tsinghua, and he often bridges research innovations (conversational agents, factorization machines) with pragmatic engineering to accelerate model refresh and deployment. Notably, he combines artistic curiosity—“making machines appreciate art”—with rigorous A/B-driven optimization to unlock both creative and quantitative improvements.
13 years of coding experience
7 years of employment as a software developer
Bachelor and Master, Automation and Control Science, Bachelor and Master, Automation and Control Science at Tsinghua UniversityUniversity of Illinois Urbana-Champaign
English, Chinese
Github Skills (24)
crf6
entity6
julia5
mutation5
java5
machine-learning5
algebra5
python5
javascript5
portable5
data-science4
mxnet4
golang4
scheduler4
scala4
Programming languages (2)
Github contributions (5)
MingjieQian/JML
Mar 2013 - Dec 2015
Contributions:8 commits, 3 pushes in 2 years 9 months
MingjieQian/LAML
Dec 2015 - Oct 2016
Contributions:16 commits, 24 pushes, 1 branch in 11 months
linear-algebrastand-alonestandjava-librarypure-java
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