Xiaoyan Lu is a Member of Technical Staff and Ph.D. computer scientist with nine years of experience building large-scale search, recommendation, and graph-learning systems at Google and a stealth AI startup. She combines deep research in complex network analysis and graph representation learning with hands-on engineering in Python, C++, SQL and distributed training—work that includes MPI implementations on supercomputers and production retrieval/ranking for the Play Store. A proven prototyper and cross-team collaborator, she earned a Google Perfy Award for core infrastructure improvements and has led efforts spanning neural training, contextual whole-page ranking and ads retrieval. Her open-source LeetCode repo reflects a pragmatic focus on algorithmic rigor (arrays, sorting, search) and backend problem-solving. Based in the United States, she brings an unusual mix of academic depth and product-grade delivery across recommendation, NLP and time-series domains.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Rensselaer Polytechnic Institute
Master's Degree Computer Science, Master's Degree Computer Science at University of Connecticut
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Xi'an Jiaotong University
Leetcode solutions organized by the problem categories
Role in this project:
Back-end Developer
Contributions:669 commits, 625 pushes, 1 branch in 3 years 6 months
Contributions summary:Xiaoyan primarily contributes solutions to LeetCode problems. The commits demonstrate the implementation of algorithms and data structures to solve various coding challenges. The solutions are written in Python, focusing on problems related to arrays, sorting, and searching.
Contributions:70 commits, 68 pushes, 1 branch in 2 years 1 month
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