Chengyu Dai is a Research Engineer with 11 years of experience specializing in distributed training systems for deep learning, currently focused on monetization at Citadel Securities. He was a core developer on BytePS/ByteCCL at ByteDance, delivering up to 4x throughput improvements through GPU pipeline, network, IO, and graph-fusion optimizations for Ads and ASR teams. His background blends a PhD in Physics and CUDA-accelerated molecular dynamics work with practical systems engineering—previous roles include quant trading engineering at Framework Ventures and autonomy/Python/C++ performance work at Uber. Chengyu has a track record of building fault-tolerant, scalable ML infrastructure (from hyperparameter services to communication primitives) and a knack for squeezing real-world performance wins without sacrificing model accuracy.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Michigan
Bachelor's degree Economics, Bachelor's degree Economics at Tsinghua University
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Chengyu Dai - Research Engineer at Citadel Securities