I'm a Cloud & Platform Engineer with 15+ years of experience designing, automating, and operating enterprise-scale infrastructure platforms.

My background spans Azure cloud architecture, Kubernetes platforms, Infrastructure as Code, DevOps automation, CI/CD engineering, cloud governance, and platform engineering.

I have extensive experience designing and implementing Azure-based solutions, including cloud migrations, infrastructure automation, Kubernetes platforms, CI/CD pipelines, and secure cloud operating models.

Currently, I am focused on building and exploring AI infrastructure patterns, including Model Context Protocol (MCP), agentic AI platforms, AI gateways, and cloud-native architectures for enterprise AI adoption.

I enjoy designing platforms that enable developers to ship software faster while improving security, reliability, and operational efficiency.

🧠 AI Infrastructure & Agentic AI

• Model Context Protocol (MCP) implementations
• LLM application architectures
• AI gateway patterns
• Enterprise AI platform concepts
• Azure AI and Azure OpenAI architecture patterns

☸️ Cloud Native Platforms

• Kubernetes platform engineering with Azure Kubernetes Service (AKS)
• GitOps delivery models with ArgoCD
• Helm and Kustomize deployment patterns
• Internal Developer Platform concepts
• Container platform automation

💰 Cloud Optimization & Governance

• FinOps practices
• Azure cost optimization
• Cloud security and governance frameworks
• Automated infrastructure management

A hands-on repository exploring Model Context Protocol (MCP), AI tools integration, and agentic AI patterns.

Technologies

Python MCP LLMs Agentic AI

Repository:

🔗 https://github.com/rftecpro-ai/mcp-tutorial

Reference implementations demonstrating different approaches for deploying containerized applications to Kubernetes using modern cloud-native practices.

Demonstrates

• Kubernetes application deployment patterns
• GitHub Actions CI/CD automation
• Docker multi-architecture builds
• Container image security scanning
• Helm-based deployments
• ArgoCD GitOps workflows
• Application and deployment repository separation
• Environment promotion strategies

☁️ Azure Cloud Architecture
☸️ Kubernetes Platform Engineering
🔄 GitOps & CI/CD Automation
🏗 Infrastructure as Code
🤖 AI Infrastructure & Agentic AI
🔐 Cloud Security & Governance
💰 FinOps & Azure Cost Optimization
🚀 Internal Developer Platforms

Microsoft Azure

• Azure Kubernetes Service (AKS)
• Azure Virtual Machines
• Azure App Services
• Azure Storage
• Azure SQL
• Azure Monitor
• Azure Networking
• Azure Key Vault
• Azure Landing Zones
• Azure Well-Architected Framework

Kubernetes • Docker • Azure Kubernetes Service (AKS) • ArgoCD • Helm • Kustomize

Terraform • Ansible • Infrastructure as Code (IaC)

GitHub Actions • Azure DevOps • YAML • CI/CD Pipelines

Azure AI Services • Azure OpenAI • MCP • LLM Infrastructure • AI Gateway Patterns

Python • PowerShell • Bash

• Designed and implemented enterprise Azure cloud platforms.
• Built Kubernetes platforms using Infrastructure as Code and GitOps methodologies.
• Led cloud modernization and migration initiatives.
• Automated infrastructure provisioning with Terraform and Ansible.
• Designed enterprise CI/CD pipelines using GitHub Actions and Azure DevOps.
• Implemented cloud governance, security, and operational best practices.
• Built automation solutions that improve developer productivity and platform reliability.
• Helped organizations optimize cloud operations and reduce infrastructure complexity.

I believe modern platforms should be:

✅ Automated by default
✅ Secure by design
✅ Developer friendly
✅ Observable and reliable
✅ Cost efficient

The best platforms empower engineering teams to focus on delivering value instead of managing infrastructure complexity.

• Agentic AI architectures
• Model Context Protocol (MCP)
• AI gateway patterns
• Kubernetes platform engineering
• AI security and governance
• Cloud-native architecture patterns
• Azure AI capabilities