Xueqian Tang
Staff Software Engineer, Machine Learning at LinkedIn
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXueqian Tang is a Staff Software Engineer specializing in machine learning and ads infrastructure with 15 years of experience driving scalable systems at LinkedIn and earlier roles at Google, Symantec, and startup isocket. At LinkedIn she has led high-impact efforts—reducing an ads billing pipeline runtime from 3 hours to 15 minutes, inventing resilient bulk-action processing with partial-failure recovery, and owning end-to-end video ads and audience selection features that tie product metrics to revenue. She combines deep systems and networking roots (C/C++ and high-availability platforms) with ML-driven product delivery, mentoring technical talent and serving as a leader in Women In Tech initiatives. Her background in physics and networking (Peking University and USC) underpins a data-oriented approach to ambiguous problems and privacy-aware design from her Google tenure. Colleagues rely on her for pragmatic architectures that scale while preserving operational reliability and measurable business impact.
15 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.), Computer Systems Networking and Telecommunications, Master of Science (M.S.), Computer Systems Networking and Telecommunications at University of Southern California#1 in Physics, #1 in Physics at High School Attached to Northeast Normal UniversityBachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Peking University
Chinese, English
Github Skills (36)
async9
asynchronous9
java9
financial-data8
stock-data7
feature-engineering7
yahoo7
feature-management7
api7
finance6
python6
testng6
apache-spark6
pandas6
feature-store6
Programming languages (4)
Github contributions (5)
aliciatang/work-env
Nov 2015 - Apr 2020
Contributions:13 pushes, 1 branch in 4 years 5 months
aliciatang/quoter
Feb 2017 - Dec 2021
Contributions:14 PRs, 30 pushes, 12 branches in 4 years 10 months
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