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madhupsheen/README.md

AI Automation & AIOps Engineer | Azure | Power Platform | Cloud Platform Engineering

Hi there 👋

Welcome to my GitHub profile!

Summary

Senior Cloud & Platform Engineer with 11+ years of experience building automation-first systems across Azure, AWS, and hybrid environments. Focused on AI-assisted operations, workflow automation, and AIOps-style systems that reduce manual effort and improve service reliability.

What I Build

  • AI-powered automation systems using local LLMs (Ollama)
  • AIOps-style workflows for incident classification, routing, and triage
  • Enterprise automation using Power Platform & Azure services
  • Hybrid cloud platforms using Terraform, Kubernetes, and Azure Arc
  • Observability-driven solutions using KQL, monitoring, and alerting systems

Featured Project

AI Service Desk Automation Stack (AIOps Platform)

A self-hosted AI-powered IT service desk automation system designed to simulate real-world AIOps workflows.

  • Local LLM inference using Ollama (llama3.1:8b)
  • Workflow orchestration with n8n
  • AI-based ticket classification and routing
  • Structured JSON outputs for automation pipelines
  • Fully containerised using Docker

Repo: https://github.com/madhupsheen/AI-ITOps-Intelligence-Platform

Cloud & Platform Projects

  • Azure Sentinel Infrastructure – Terraform-based SIEM deployment
  • Azure Kubernetes Platform – Secure AKS with CI/CD & identity
  • Azure Landing Zones – Enterprise CAF architecture

Tech Stack

  • Cloud & Platform: Azure, AWS, Terraform, Kubernetes, Docker
  • Automation: Power Automate, Power Apps, Logic Apps
  • AI & AIOps: Ollama, n8n, LLM workflows, prompt engineering
  • Observability: KQL, Azure Monitor, Prometheus, Grafana
  • Integration: APIs, Microsoft Graph, APIM

Current Focus

  • AI + AIOps engineering
  • Copilot-driven automation workflows
  • Enterprise AI integration patterns (secure, local-first AI)

🔹 Contact / More Info

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