Chang Cui
Member Of Technical Staff at AMD
Beijing, China
Summary
👤
Senior🎓
Top SchoolChang Cui is a Member of Technical Staff with nine years of experience specializing in heterogeneous computing, high-performance inference, and compiler-level optimizations. He built production TensorFlow→TensorRT and PyTorch→TensorRT converters, hand-wrote CUDA operators, and architected a TensorRT-based GPU inference backend with embedding cache and real-time model switching that runs on 15,000+ GPUs for large-scale advertising. His work at Tencent delivered constrained decoding and SmoothQuant solutions for low-latency, controllable ad inference, and he continues to focus on OS, compiler, and HPC problems. A Peking University MS in High Performance Computing and a long-standing Linux/Vim/open-source habit inform his pragmatic, systems-first approach. Notably, he blends research-grade toolchain development with production deployment experience—bridging graph optimization research and massive, low-latency serving systems.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS High Performance Computing, Master of Science - MS High Performance Computing at Peking University
Github Skills (81)
foreign10
tun10
static-server9
vpn9
censorship-circumvention9
proxy9
relay9
satellite9
searching9
network-programming9
proxy-server9
connections9
quic9
packed9
filter9
Programming languages (7)
Github contributions (5)
hulin12138/zeroOutSocial
Jan 2019 - Jan 2019
Contributions:54 commits, 23 pushes in 2 days
changcui/ZeroutRecorder
May 2017 - Aug 2018
Contributions:3 PRs, 11 pushes, 1 branch in 1 year 2 months
reactrecordingrecording-app
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