Xin
技术专家B at 华为
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolXin is a Ph.D.-trained computer scientist based in Hong Kong with 11 years’ experience building scalable cloud and large-scale deep learning systems, now serving as 技术专家B at Huawei. His research and engineering work spans consistency and consensus models, fault tolerance, parameter-server architectures, and high-throughput replication-backed storage using Redis/Cassandra to accelerate distributed training. He has deployedGPU and CPU clusters at scale (AWS GPU clusters supported by research credits and a 128-node Kubernetes cluster at HKU), published multiple papers on communication-efficient synchronization, and won several FlyAI competitions applying DenseNet/ResNet with Keras and PyTorch. Comfortable in C/C++, Python, Java/Scala and Linux, he combines hands-on systems design with practical deployment experience and is exploring federated learning and model compression for AIoT. An underappreciated strength is his hardware-software cross-domain interest—SOC/COC (NPU+) design and erasure coding—informing end-to-end efficiency optimizations.
10 years of coding experience
3 years of employment as a software developer
The University of Hong Kong (HKU)学士, 计算机科学, 学士, 计算机科学 at Huazhong University of Science and Technology
Github Skills (42)
data-privacy10
tookit10
machine-learning9
federated-learning9
keras9
scalable9
js8
federated8
deep-learning8
css8
jekyll8
javascript8
kubernetes8
pytorch8
mxnet7
Programming languages (7)
Github contributions (5)
XinYao1994/plato
Nov 2021 - Dec 2023
A new scalable federated learning research framework
Contributions:2 PRs, 118 pushes, 4 branches in 2 years 1 month
pytorchscalabledeep-learningmachine-learningdistributed-computing
XinYao1994/sedna
Jun 2021 - Mar 2022
AI tookit over KubeEdge
Contributions:240 pushes in 9 months
kubeedgetookitkubernetesmachine-learning
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