Lingjun Liu is a systems engineer based in Beijing with 10 years of experience building high-performance ML/DL solutions and production inference serving. Currently at ByteDance, he focuses on deep learning model optimization and deployment at scale, drawing on prior Edge-AI framework development in C++ at Huawei. His background spans industry and research—from Android test tooling at Baidu to fluid dynamics research at the University of Alberta—reflecting an ability to move between low-level optimization and applied machine learning. A Computing Science graduate of Imperial College London, he blends rigorous academic foundations with hands-on engineering. Known for a pragmatic "Live and Learn" approach, he often connects numerical analysis instincts with practical systems design to squeeze efficiency from constrained environments.
10 years of coding experience
1 year of employment as a software developer
Graduate, Computing Science, Graduate, Computing Science at Imperial College London
Contributions:21 pushes, 1 branch in 4 years 5 months
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