Liu Xin is an AI compiler engineer with 13 years of experience building high-performance compilers and runtime systems, currently optimizing ML workloads for Amazon's in-house accelerator. His background spans JIT and OpenJDK contributions, GPU code generation, and low-level parallel and concurrent programming across CPUs and GPUs. He has shipped compiler frontends and backends (including a C++AMP compiler and Mesa/LLVM-based shader compiler), and invented shader-batching techniques and platform bring-up for Android SoCs. Based in Seattle, he blends deep systems expertise with practical production experience tuning AI/ML codegen, making him equally comfortable in compiler internals and accelerator-aware optimization.
13 years of coding experience
14 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Huazhong University of Science and Technology
Master of Engineering (M.Eng.) computer science, Master of Engineering (M.Eng.) computer science at Shanghai Jiao Tong University
Contributions:15 pushes, 1 branch in 8 years 3 months
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