Chen-yu Ho
Senior Software Engineer at Meta
Jeddah, Makkah Region, United States
Summary
👤
Senior🎓
Top SchoolChen-yu Ho is a research scientist specializing in high-performance network software and distributed machine learning systems, with 11 years of experience and a PhD in Computer Science from KAUST. He designs and ships low-latency, high-throughput networking and communication frameworks to accelerate LLM training, finetuning, inference, and serving pipelines, most recently building global network infrastructure at ByteDance. A proven researcher-engineer hybrid, Chen-yu has 6 top-tier publications (560 citations), a #1 SIGCOMM paper, and thousands of open-source lines integrating with PyTorch, TensorFlow, Horovod and other AI frameworks. He led development of practical systems like OmniReduce and SwitchML that deliver multi-fold training speedups through sparsity, quantization, and in-network aggregation. Colleagues describe him as a collaborative, self-directed problem-solver who spots ML system bottlenecks quickly — and off-hours he reads fantasy epics from Jin Yong to Tolkien.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at KAUST (King Abdullah University of Science and Technology)Bachelor of Science in Engineering Engineering Science and Ocean Engineering, Bachelor of Science in Engineering Engineering Science and Ocean Engineering at National Taiwan University
English, Mandarin, Chinese
Github Skills (92)
python10
mxnet10
handwriting-recognition10
deep-learning10
gpu10
forecast10
oh-my-zsh10
application-settings10
api10
paddlepaddle10
computer-vision10
nlp10
shell10
stroke10
cli10
Programming languages (9)
Github contributions (5)
ChenYuHo/wordseg
Dec 2018 - Jan 2021
Contributions:2 commits, 17 pushes, 2 branches in 2 years 1 month
ChenYuHo/pytorch
Nov 2018 - Jun 2021
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:9 pushes, 360 branches, 19 tags in 2 years 6 months
pythongpu-accelerationdeep-learninggpuacceleration
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