DevOps โข Platform Engineering โข MLOps โข LLMOps โข GenAI โข AI Agents โข MCP โข AI Infrastructure
I build scalable cloud platforms, AI infrastructure, Internal Developer Platforms (IDPs), and Agentic AI systems that help engineering teams build, deploy, and operate applications faster.
My interests span modern Platform Engineering, Cloud Native technologies, DevOps Automation, MLOps, LLMOps, Generative AI, AI Agents, Model Context Protocol (MCP), AI Automation, and Developer Experience.
I enjoy building open-source tools, automation frameworks, production-ready AI platforms, and educational resources that simplify complex engineering problems.
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| Platform Engineering | Internal Developer Platforms (IDP) | DevOps Automation |
| Cloud Native Infrastructure | Kubernetes | GitOps |
| MLOps | LLMOps | AI Infrastructure |
| Generative AI | AI Agents | Agentic AI Systems |
| Multi-Agent Architectures | Model Context Protocol (MCP) | Agent2Agent (A2A) |
| LangGraph | LangChain | Google ADK |
| Context Engineering | Prompt Engineering | Retrieval-Augmented Generation (RAG) |
| AI Automation | Developer Experience (DevEx) |
| Project | Description |
|---|---|
| DevOps Real-Time Projects | Beginner โ Advanced real-world DevOps projects |
| AWS Real-Time Projects | Production-grade AWS deployments |
| Into the DevOps | Complete interview preparation repository |
| Kubernetes Learning Path | Kubernetes roadmap & CKA preparation |
| DevOps Tool Installer | Automated DevOps tooling setup |
| DevOps Cheatsheet | Quick reference guide |
| Azure DevOps Guide | Azure DevOps learning resource |
| CI/CD Pipeline for AWS EKS | GitHub Actions + Kubernetes deployment |
| Project | Description |
|---|---|
| AI Platform Engineering Handbook | Production-grade AI platform engineering |
| MLOps Project Generator | CLI & UI for MLOps repositories |
| DevOps Project Generator | Production-ready DevOps scaffolding |
| AI Infrastructure Templates | AI deployment architectures |
| LLMOps Examples | End-to-end LLM deployment workflows |
| Project | Description |
|---|---|
| DevOps Incident Response Agent | AI-powered incident troubleshooting |
| Mainframe MCP Server | Connect AI assistants with IBM z/OS |
| DevOps MCP Server | MCP server exposing DevOps tools |
| AI Agent Templates | Starter templates for production AI agents |
| Multi-Agent Workflows | Agent orchestration examples |
| AI Automation Examples | Enterprise automation workflows |
| Project | Description |
|---|---|
| DevOps Tools Collection | Curated DevOps ecosystem |
| DevOps Monitoring in a Box | Prometheus + Grafana + Loki |
| Kubernetes Master Reference | Production Kubernetes guide |
| Internal Developer Platform | Self-service platform resources |
| โ๏ธ Cloud Infrastructure | โธ๏ธ Kubernetes | โ๏ธ DevOps Engineering | ๐๏ธ Platform Engineering |
| ๐ ๏ธ Internal Developer Platforms | ๐ GitOps | ๐ Observability | ๐ค AI Infrastructure |
| ๐ง Generative AI | ๐ค AI Agents | ๐ธ๏ธ Agentic AI Systems | ๐ Model Context Protocol (MCP) |
| ๐ค Agent2Agent (A2A) | ๐ MLOps | ๐งฉ LLMOps | ๐ RAG |
| ๐ฌ Prompt Engineering | ๐ง Context Engineering | โก AI Automation | ๐จโ๐ป Developer Experience |
| Resource | Description |
|---|---|
| ๐ Docs Portal | DevOps, Cloud & AI documentation |
| ๐ป Projects Hub | Hands-on real-world projects |
| โธ๏ธ Kubernetes Learning | Beginner โ CKA |
| ๐ณ Docker to Kubernetes | Complete container journey |
| ๐ค MLOps Generator | Production-ready MLOps templates |
| โ๏ธ DevOps Generator | DevOps project scaffolding |
| โ๏ธ AWS Infra Generator | AWS infrastructure templates |
| ๐ Monitoring in a Box | Observability stack |
| ๐ค AI Platform Engineering | AI infrastructure resources |
| ๐ง Agentic AI | AI Agent learning resources |
| ๐ MCP Learning | Model Context Protocol resources |
| ๐ฆ Repositories Hub | Open-source projects |
