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NotHarshhaa

𝙃 𝘼 𝙍 𝙎 𝙃 𝙃 𝘼 𝘼 NotHarshhaa

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Overview Repositories 93 Projects Packages Stars 5

Overview
Repositories
Projects
Packages
Stars

NotHarshhaa/README.md

H A R S H H A A

Platform Engineer • AI Infrastructure • Agentic Systems

DevOps • Platform Engineering • MLOps • LLMOps • GenAI • AI Agents • MCP • AI Infrastructure

Building Cloud Platforms, AI Infrastructure & Agentic Systems.

👋 About Me

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.

📊 GitHub Statistics

⚡ Tech Stack

☁️ Cloud

🚀 DevOps & Platform

📊 Observability

🤖 AI & MLOps

🧠 Current Focus

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)

📂 Featured Projects

🔧 DevOps & Infrastructure

Project	Description
DevOps Real-Time Projects	Beginner → 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

🤖 AI Infrastructure & MLOps

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

🤖 AI Agents & Agentic Systems

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

🏗️ Platform Engineering

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

🚀 Areas of Expertise

☁️ Cloud Infrastructure	☸️ Kubernetes	⚙️ DevOps Engineering	🏗️ Platform Engineering
🛠️ Internal Developer Platforms	🚀 GitOps	📊 Observability	🤖 AI Infrastructure
🧠 Generative AI	🤖 AI Agents	🕸️ Agentic AI Systems	🔗 Model Context Protocol (MCP)
🤝 Agent2Agent (A2A)	📚 MLOps	🧩 LLMOps	🔍 RAG
💬 Prompt Engineering	🧠 Context Engineering	⚡ AI Automation	👨‍💻 Developer Experience

🌐 Learning Hub

Resource	Description
📚 Docs Portal	DevOps, Cloud & AI documentation
💻 Projects Hub	Hands-on real-world projects
☸️ Kubernetes Learning	Beginner → CKA
🐳 Docker to Kubernetes	Complete container journey
🤖 MLOps Generator	Production-ready MLOps templates
⚙️ DevOps Generator	DevOps project scaffolding
☁️ AWS Infra Generator	AWS infrastructure templates
📊 Monitoring in a Box	Observability stack
🤖 AI Platform Engineering	AI infrastructure resources
🧠 Agentic AI	AI Agent learning resources
🔗 MCP Learning	Model Context Protocol resources
📦 Repositories Hub	Open-source projects

💙 If my work helps you, consider supporting it.

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🚀 Real-world DevOps projects for aspiring engineers — Beginner to Advanced. Covers AWS, Kubernetes, Docker, CI/CD, Terraform, Jenkins, and more. Hands-on learning with step-by-step guides.

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𝖫𝗂𝗇𝗎𝗑, 𝖩𝖾𝗇𝗄𝗂𝗇𝗌, 𝖠𝖶𝖲, 𝖲𝖱𝖤, 𝖯𝗋𝗈𝗆𝖾𝗍𝗁𝖾𝗎𝗌, 𝖣𝗈𝖼𝗄𝖾𝗋, 𝖯𝗒𝗍𝗁𝗈𝗇, 𝖠𝗇𝗌𝗂𝖻𝗅𝖾, 𝖦𝗂𝗍, 𝖪𝗎𝖻𝖾𝗋𝗇𝖾𝗍𝖾𝗌, 𝖳𝖾𝗋𝗋𝖺𝖿𝗈𝗋𝗆, 𝖮𝗉𝖾𝗇𝖲𝗍𝖺𝖼𝗄, 𝖲𝖰𝖫, 𝖭𝗈𝖲𝖰𝖫, 𝖠𝗓𝗎𝗋𝖾, 𝖦𝖢𝖯, 𝖣𝖭𝖲, 𝖤𝗅𝖺𝗌𝗍𝗂𝖼, 𝖭𝖾𝗍𝗐𝗈𝗋𝗄, 𝖵𝗂𝗋𝗍𝗎𝖺𝗅𝗂𝗓𝖺𝗍𝗂𝗈𝗇. 𝖣𝖾𝗏𝖮𝗉𝗌 𝖨𝗇𝗍𝖾𝗋𝗏𝗂𝖾𝗐 𝖰𝗎𝖾𝗌𝗍𝗂𝗈𝗇𝗌

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NotHarshhaa (𝙃 𝘼 𝙍 𝙎 𝙃 𝙃 𝘼 𝘼) · GitHub