I am a Principal Software Engineer working at Microsoft Azure Kubernetes Service(AKS) team, specializing in setting up and optimizing AI LLM inference services on Kubernetes, as well as maintaining a few upstream Kubernetes storage projects and Azure cloud provider projects.
- upstream AI LLM projects (maintainer/approver)
- https://github.com/kaito-project/kaito
- A project that automates AI LLM model inference or tuning workloads within a Kubernetes cluster, similar to projects like Nvidia dynamo and llm-d
- https://github.com/kaito-project/keda-kaito-scaler
- https://github.com/kaito-project/kaito
- upstream Kubernetes storage driver projects (owner/approver)
- upstream Azure cloud provider projects (owner/approver)
- Presented several sessions at KubeCon and ContainerCon, including:
- Kata Confidential Containers Meet Persistent Storage: Overcoming CSI Driver Challenges in KubeCon HongKong 2025
- Deep Dive Into Windows CSI Driver HostProcess Containers in KubeCon HongKong 2024
- Deep Dive into Cloud Provider for Azure in KubeCon Europe 2020
- HOL: Build & Deploy a Basic Kubernetes Application using Azure AKS in LC3 China 2018
- CNCF Award
- Kubernetes Contributor Award Winner in 2022
- Nominee for the CNCF Top Committer Award 2025
- Other
- Top#1 CNCF project contributor in China 2024
- BLOG: Autoscale KAITO inference workloads on AKS using KEDA
- In addition, I served as a mentor in the Linux Community Bridge program, where I guided college students working on Kubernetes projects.
