Weizhou Lan is a Senior Technical Lead with 15 years in software development and eight years leading R&D across AI agents, AI infrastructure, cloud-native Kubernetes, and telecom cloud core networks. At DaoCloud he drives Kubernetes-based AI networking and agent products—from CNI and eBPF-based observability to RDMA/GPU-accelerated training stacks—and incubated five open-source projects including a CNCF Sandbox project (Spiderpool). Deeply engaged in the CNCF ecosystem, he has delivered multiple KubeCon talks, served on program committees, and contributed extensively to projects like Cilium to improve developer experience and CI/CD. He pairs hands-on engineering (prompt engineering, RAG, vector DBs, multi-agent workflows) with architecture and product strategy, and often translates cutting-edge research into practical automation that speeds delivery. Based in Shanghai, he brings rare cross-domain expertise in networking hardware (NVIDIA GPUs/DPUs, InfiniBand) and cloud-native software, and a knack for distilling complex systems into teachable patterns.
7 years of coding experience
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at 上海交通大学
eBPF-based Networking, Security, and Observability
Role in this project:
DevOps Engineer
Contributions:16 reviews, 16 PRs, 41 comments in 7 years 2 months
Contributions summary:Weizhou primarily contributed to improving documentation, fixing typos, and enhancing the build and deployment processes for the Cilium project. They modified documentation related to troubleshooting and Helm values, ensuring accuracy and clarity. Additionally, the user defined environment variables and optimized Kind setup for the project's build and testing procedures. Their contributions focused on improving the developer experience and streamlining the CI/CD pipeline.
Layer-4 eBPF load balancer on the Kubernetes, with strengthened kube-proxy replacement and multi-clusters connectivity
Contributions:60 PRs, 334 pushes, 51 branches in 1 year 5 months
ebpfkubernetesload-balancermulti-clusterproxy
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