Principal Software Engineer at Microsoft, working on Azure Kubernetes Service (AKS) since 2017. I specialize in AI/LLM inference optimization on Kubernetes and maintain several upstream CNCF projects in the Kubernetes ecosystem.
| Project | Role | Description |
|---|---|---|
| KAITO | Maintainer | Automates AI/LLM model inference & tuning on Kubernetes β similar to Nvidia Dynamo and llm-d |
| KEDA-KAITO Scaler | Maintainer | KEDA external scaler for autoscaling KAITO inference workloads |
- π₯ #1 CNCF project contributor in China (2024)
- π Kubernetes Contributor Award Winner (2022) β SIG Storage
- π Nominee β CNCF Top Committer Award (2025)
- π§βπ« Mentor β LFX Mentorship (Linux Community Bridge), guiding students on Kubernetes projects
| Year | Conference | Talk |
|---|---|---|
| 2025 | KubeCon Hong Kong | Kata Confidential Containers Meet Persistent Storage: Overcoming CSI Driver Challenges |
| 2024 | KubeCon Hong Kong | Deep Dive Into Windows CSI Driver HostProcess Containers |
| 2020 | KubeCon Europe | Deep Dive into Cloud Provider for Azure |
| 2018 | LC3 China | HOL: Build & Deploy a Basic Kubernetes Application using Azure AKS |
- Autoscale KAITO inference workloads on AKS using KEDA β AKS Blog, Feb 2026






