Shuangquan Lyu
Machine Learning Engineer at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolShuangquan Lyu is a Machine Learning Engineer with a decade of experience building large-scale recommendation and advertising systems at Meta, Twitter, and ByteDance. He has led product-critical recommender efforts such as Twitter's Who-to-Follow and new user retention, launching 70+ A/B tests and mentoring cross-functional teams while driving feature, candidate, and bias/latency improvements. At ByteDance he owned Douyin/TikTok brand ads backend development and dramatically reduced service latency through microservice refactors and SQL optimization. His background spans both ML engineering and backend systems—implementing data pipelines, modeling, and production infrastructure in Scala and Python—grounded by an M.S. from Carnegie Mellon. Based in Menlo Park, he blends hands-on technical ownership with experiment governance at company scale, often serving as the go-to engineer for complex metric-driven decisions. An uncommon strength is his track record of moving quickly from research/prototype to stable, low-latency production systems across global consumer products.
10 years of coding experience
7 years of employment as a software developer
Bachelor's Degree Computer Software Engineering, Bachelor's Degree Computer Software Engineering at Sun Yat-sen UniversityMaster's Degree Computer Software Engineering, Master's Degree Computer Software Engineering at Carnegie Mellon UniversityThe University of Melbourne
Chinese, English
Github Skills (3)
cycle8
verilog6
cpu5
Programming languages (2)
Github contributions (5)
lvshq/CPU-Verilog
Apr 2016 - Aug 2018
Single cycle CPU implementation using Verilog
Contributions:6 commits, 4 pushes, 1 branch in 2 years 3 months
cpuverilogcyclesingle-cycle
lvshq/Solve-Number-Puzzles
Mar 2016 - Jan 2017
Contributions:8 pushes, 1 branch in 10 months
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