I'm a DevOps and platform engineer who builds cloud platforms, CI/CD pipelines, AI infrastructure, Internal Developer Platforms (IDPs) and agentic AI systems, so engineering teams can ship and operate software faster. I also build open-source tools, automation frameworks and learning resources that make complex engineering topics easier to pick up.

• 🔌 Mainframe MCP Server: MCP server that connects AI assistants to IBM z/OS via Zowe/z/OSMF
• 🤖 Hermes DevOps Toolkit: DevOps troubleshooting skills for Hermes Agent, including Pipeline Failure Translator and KubeExplain
• 💡 DevOps AI Implementation Ideas: open-source catalog of 50+ AI + DevOps ideas across multiple providers
• 🧪 ML & AI Engineering Cookbook: hands-on Jupyter notebooks for ML and AI engineering
• 🖥️ DevOps Workstation Hub: Windows app (formerly DevOps Tools Installer) for setting up DevOps tooling and stacks
• 📚 Learn Everything: free, practical, open-source technical learning platform

• Core: Python, Bash/Shell, TypeScript
• Infra as code & config: HCL (Terraform), YAML (Kubernetes, Helm, CI/CD pipelines)
• Apps & tooling: C# / XAML (WinUI 3)
• Notebooks & docs: Jupyter Notebook, Markdown

• Cloud: AWS, Azure, GCP
• Containers & Platform: Docker, Kubernetes, Helm, Terraform, Ansible
• CI/CD & GitOps: GitHub Actions, GitLab CI, Jenkins, ArgoCD
• Observability: Prometheus, Grafana, Loki
• AI & MLOps: MLflow, LangChain, LangGraph, Google ADK, MCP, A2A

• DevOps & Platform: DevOps Automation, Platform Engineering, IDPs, Kubernetes, GitOps
• AI Infrastructure: MLOps, LLMOps, RAG, AI Infrastructure
• Agents: Agentic AI, Multi-Agent Architectures, MCP, Agent2Agent (A2A)
• Craft: Context & Prompt Engineering, AI Automation, Developer Experience

🔧 DevOps & Infrastructure

• DevOps Real-Time Projects: beginner → advanced, real-world projects
• AWS Real-Time Projects: production-grade AWS deployments
• Into the DevOps: interview preparation
• Kubernetes Learning Path: roadmap and CKA prep
• CI/CD Pipeline for AWS EKS: GitHub Actions + Kubernetes
• DevOps Cheatsheet · Azure DevOps Guide

🧩 AI Infrastructure & MLOps

• AI Platform Engineering Handbook: production-grade AI platform guidance
• MLOps Project Generator · DevOps Project Generator: CLI/UI scaffolding for production-ready repos
• AI Infrastructure Templates · LLMOps Examples: deployment architectures and end-to-end workflows

🕸️ AI Agents & MCP

• DevOps Incident Response Agent: AI-powered incident troubleshooting
• DevOps MCP Server: exposes DevOps tools over MCP
• AI Agent Templates · Multi-Agent Workflows · AI Automation Examples

🏗️ Platform Engineering

• Internal Developer Platform: self-service platform resources
• DevOps Monitoring in a Box: Prometheus + Grafana + Loki
• Kubernetes Master Reference · DevOps Tools Collection

Docs Portal · Projects Hub · Kubernetes (Beginner → CKA) · Docker to Kubernetes · MLOps / DevOps / AWS Infra Generators · Monitoring in a Box · AI Platform Engineering · Agentic AI · MCP Learning · Repositories Hub

DevOps & CI/CD • Kubernetes & GitOps • Platform Engineering & IDPs • MLOps/LLMOps • Building MCP servers and AI agents • DevOps career and interview prep