Lei Su
技术专家 at Huawei Cloud
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolLei Su is a seasoned technical expert and software architect with nine years of focused experience in distributed systems, high-performance computing, and cloud PaaS. Currently at Huawei Cloud working on FusionStage, he previously architected middleware and performance optimizations for autonomous driving at TuSimple and led enterprise Spark initiatives and GPU scheduling at IBM Spectrum Computing. His work has driven large-scale multi-tenant Spark deployments, GPU-adaptive scheduling, and features that delivered major throughput and runtime improvements in production. Comfortable spanning low-level resource scheduling to platform-level PaaS design, he has a track record of turning research ideas (e.g., SharedRDD, multi-GPU balancing) into production features. Based in Haidian, Beijing, he pairs academic grounding from Jilin University with hands-on delivery across telecom, cloud, and AI infrastructure. He also shares contact via WeChat (shikongren2010), suggesting an open, practice-oriented collaborator beyond public OSS footprints.
9 years of coding experience
11 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Jilin University
Github Skills (36)
kubernetes10
notebook10
google-kubernetes-engine10
python10
jupyter10
kubeflow10
machine-learning10
kedro10
tensorflow10
kubeflow-pipelines10
minikube10
data-science9
testing9
ml9
mlops9
Programming languages (8)
Github contributions (5)
suleisl2000/kubeflow
Aug 2018 - Apr 2019
Machine Learning Toolkit for Kubernetes
Contributions:13 pushes in 7 months
pythondata-sciencemachine-learningmlopskubeflow
TuSimple/rqt-reconfigure
Oct 2018 - Feb 2019
Contributions:5 PRs, 5 pushes, 1 comment in 4 months
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