Guangli Dai
Research Scientist at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolGuangli Dai is a research scientist in Seattle with a decade of experience turning theoretical systems research into production-quality code, currently contributing to jemalloc and working at Meta. He specializes in real-time systems, virtualization, and efficient data transmission, and his PhD-level background supports deep dives into algorithms and core system internals. His open-source work on jemalloc—adding double-free detection via slab bitmaps and refactoring cross-thread cache-bin stats—demonstrates practical expertise in memory management and reliability engineering. Past internships at NVIDIA and contributions to HDFS scheduling research show a blend of industry and academic impact. Notably, he combines rigorous academic training (PhD, University of Houston) with hands-on systems engineering that improves performance and robustness in widely used system components.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 3.89/4.0, Doctor of Philosophy - PhD, Computer Science, 3.89/4.0 at University of HoustonBachelor of Engineering - BE, Computer Science, 3.56/4, Bachelor of Engineering - BE, Computer Science, 3.56/4 at Southeast University
Github Skills (12)
c1710
memory-management10
debugging10
debug10
c1110
system-programming10
performance-optimization10
multithreading9
data-structure9
benchmarking9
benchmark9
data-structures9
Programming languages (3)
Github contributions (5)
jemalloc/jemalloc
Aug 2022 - Dec 2022
Role in this project:
Back-end Developer / Systems Engineer
Back-end Developer / Systems EngineerContributions:349 reviews, 9 commits, 43 PRs in 3 months
Contributions summary:Guangli's primary focus was on improving the robustness and reliability of the jemalloc memory allocator. The commits demonstrate a deep understanding of memory management techniques, including the implementation of double-free detection using slab bitmaps and the refactoring of cache bin statistics. These changes involve modifications to core system components. Furthermore, contributions show improvements for performance and efficiency, evidenced by refactoring for remote and cross-thread cache bin stats and the addition of benchmarks.
guangli-dai/jemalloc
Aug 2022 - Mar 2025
Contributions:391 pushes, 48 branches, 3 comments in 2 years 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.