Xingquan Guan
Software Engineer, Machine Learning at Meta
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolXingquan Guan is a software engineer specializing in machine learning who brings eight years of experience bridging academic research and production systems, now at Meta after leading data science at Zest AI. With a Ph.D. in structural engineering from UCLA and an MS in Computer Science from Georgia Tech, he uniquely blends hazard-engineering domain expertise with pragmatic ML product delivery—designing risk-ranking systems adopted by 80%+ of clients and automating pipelines that cut runtimes from a week to a day. His work spans from physics-informed surrogate models and vision-transformer architectures for structural prediction to production-grade model engineering, deployment automation, and team leadership. Known for converting complex research into scalable solutions, he also has a record of accelerating model iteration cycles from days to minutes and reducing data dependence via collaborative-filtering approaches.
8 years of coding experience
10 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyMaster's degree Structural Engineering, Master's degree Structural Engineering at Huazhong University of Science and TechnologyUniversity of California, Los Angeles
English, ChineseProgramming languages (1)
Github contributions (5)
GUAN-XINGQUAN/guan-xingquan.github.io
May 2022 - Jan 2023
Contributions:11 commits, 78 pushes, 1 branch in 7 months
GUAN-XINGQUAN/AutoSDAPlatform
Aug 2020 - Jul 2022
Contributions:19 commits, 18 pushes, 1 branch in 1 year 11 months
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