Cloud Native Architect & Agentic AI Platform Engineer

• 📍 Seoul, Korea
• 💼 LinkedIn: @youngjoonjeong
• 🌐 Engineering Playbook: devfloor9.github.io/engineering-playbook
• 🐙 GitHub: @devfloor9

Building production-grade cloud native platforms at the intersection of Kubernetes and Generative AI. I specialize in Amazon EKS architecture optimization, GPU infrastructure for large-scale model serving, and designing end-to-end Agentic AI platforms that actually work in production.

My work focuses on turning complex infrastructure challenges into battle-tested engineering patterns — from Cilium networking and Karpenter autoscaling to vLLM/llm-d distributed inference and MCP-based agent orchestration. Everything I build gets documented in the Engineering Playbook, an open knowledge base for the cloud native community.

• Deep expertise in Amazon EKS — cluster architecture, networking (Cilium, Gateway API), autoscaling (Karpenter), and operational excellence
• Production experience with hybrid infrastructure — EKS Hybrid Nodes, SR-IOV with DGX H200, on-prem/cloud bridging
• GitOps-driven operations with Argo CD, infrastructure as code, and automated deployment pipelines
• Performance optimization — CNI benchmarking, East-West traffic tuning, CoreDNS optimization

• End-to-end Agentic AI platform design on Kubernetes — from GPU resource management to agent observability
• Model serving at scale with vLLM, llm-d, NeMo Framework, and MoE architectures
• Inference Gateway routing, KV Cache-aware scheduling, and distributed inference optimization
• RAG pipelines with Milvus vector database, evaluation with RAGAS, monitoring with Langfuse
• Amazon Bedrock AgentCore and MCP (Model Context Protocol) integration for enterprise agent deployments

• Identity-First Security with EKS Pod Identity and IRSA
• Runtime threat detection with GuardDuty Extended Threat Detection
• Policy-as-code with Kyverno, supply chain security, and compliance automation

Container & Orchestration: Amazon EKS, EKS Auto Mode, Karpenter, Helm, Argo CD

Networking: Cilium, Gateway API, CoreDNS, ALB/NLB

AI/ML Serving: vLLM, llm-d, NeMo Framework, Amazon Bedrock AgentCore

AI Agents: Kagent, MCP (Model Context Protocol), Inference Gateway

Observability: Prometheus, Grafana, Langfuse, Hubble, OpenTelemetry

Security: Kyverno, GuardDuty, EKS Pod Identity, Harbor

Vector DB & Evaluation: Milvus, RAGAS

IaC & GitOps: CDK, Terraform, Argo CD, GitHub Actions

Comprehensive documentation site covering cloud native architecture and Agentic AI best practices. 40+ technical guides across infrastructure optimization, operations, AI platform engineering, hybrid infrastructure, security, and ROSA. Built with Docusaurus, dual-language (Korean/English).

Building scalable GenAI platforms on Amazon EKS — reference architectures and deployment patterns for production AI workloads.

📘 Infrastructure Optimization — Cilium ENI, Gateway API, CoreDNS, Karpenter, cost management

📗 Operations & Observability — GitOps, node monitoring, EKS debugging & resiliency guides

📙 Agentic AI Platform — vLLM, llm-d, MoE serving, Inference Gateway, Milvus, Kagent, Bedrock AgentCore, RAGAS

📕 Hybrid Infrastructure — Hybrid Nodes, SR-IOV DGX H200, Harbor registry integration

📓 Security & Governance — Identity-First Security, GuardDuty, Kyverno, supply chain security

📒 Benchmark Reports — CNI performance, AI/ML workloads, hybrid infrastructure, security operations PROFILE_EOF echo "Done"