Jiale Guo
Machine Learning Engineer at 小红书
Harbin, Heilongjiang, Other
Summary
👤
Senior🎓
Top SchoolJiale Guo is a Machine Learning Engineer with nine years of experience specializing in natural language processing, graph neural networks, text matching, and semantic similarity. Currently at Xiaohongshu, he focuses on feeds recommendation and previously built recommendation systems at Meituan, combining deep learning research with product-facing algorithms. He holds advanced degrees from Harbin Institute of Technology and doctoral studies at North Carolina State University, blending strong academic foundations with production experience. Known for a pragmatic, results-driven approach (summed up on GitHub as "Keep quiet and get rich"), he brings a quiet intensity to optimizing large-scale recommendation and NLP pipelines.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at North Carolina State UniversityMaster's degree, Computer Science, Master's degree, Computer Science at Harbin Institute of Technology
Github Skills (4)
rouge4
python2
perl2
nlp1
Programming languages (1)
Github contributions (5)
JialeGuo/py_rouge_zh
Nov 2019 - Nov 2019
Contributions:6 commits, 5 pushes, 1 branch in 1 day
JialeGuo/jialeguo.github.io
Jan 2018 - Jan 2018
Contributions:11 pushes, 1 branch in 1 day
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