Principal Software Engineer at Microsoft, leading storage and AI infrastructure in Azure Kubernetes Service (AKS). Currently focusing on building AI/LLM inference infrastructure on Kubernetes. Maintainer of multiple CNCF projects including KAITO, NFS/SMB CSI drivers and Azure CSI drivers (Disk, File, Blob).
| Project | Role | Description |
|---|---|---|
| KAITO | Maintainer | Automates LLM inference, fine-tuning & RAG deployment on Kubernetes with managed GPU provisioning β covers similar inference scenarios to Nvidia Dynamo and llm-d but as a Kubernetes-native operator |
| KEDA-KAITO Scaler | Maintainer | KEDA external scaler that autoscales KAITO inference workloads based on pending request metrics |
- 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), Mentored students on Kubernetes open-source contributions including CSI driver 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
