Pavan Madduri
Senior Cloud Platform Engineer @W.W.Grainger, Inc.
Chicago, Illinois, United States
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Pavan Madduri is a Senior Cloud Platform Engineer at W.W. Grainger, where he runs the Kubernetes platforms behind a Fortune 500 company's workloads. He is the elected Tech Lead of CNCF's TAG Workloads Foundation for the 2026 to 2028 term and leads the CNCF TOC's Distributed Agentic Systems initiative. His analysis of scale-out model loading is part of the CNCF AI Scheduling Challenges whitepaper.
Pavan contributes to Dragonfly, a graduated CNCF project, where he wrote the Hugging Face and ModelScope backends for peer-to-peer model distribution. He created keda-gpu-scaler, an open source KEDA scaler for GPU workloads, and gpu-mcp-server, an MCP server that gives AI agents live NVIDIA GPU metrics.
He is an IEEE Senior Member, a peer reviewer for IEEE journals, and a CNCF Golden Kubestronaut. He writes about AI infrastructure and agentic systems for the CNCF and AAIF blogs, Cloud Native Now, VKTR, and Platform Engineering, and his research has been published by IEEE. He has spoken at HPSFCon 2026 and KyvernoCon 2026 and speaks at KubeCon + CloudNativeCon North America 2026.
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Project Lightning Talk + ContribFest + Maintainer Track: KubeCon + CloudNativeCon NA 2026 Sessionize Event Upcoming
KubeCon + CloudNativeCon North America 2026 Sessionize Event Upcoming
KyvernoCon Virtual 2026 Sessionize Event
HPSF Conference 2026 Sessionize Event
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