name: Rahul Chamoli
role: Cloud Engineer & Azure AI Specialist
location: India ๐ฎ๐ณ
focus:
- Designing intelligent cloud architectures on Microsoft Azure
- Building production-grade APIs with Python & FastAPI
- Implementing conversational AI solutions with Azure OpenAI
- Automating cloud infrastructure at scale
current_goal: Contributing to open-source & building reusable AI components
available_for: Freelance consulting, open-source collaborations, technical mentorship๐ค Azure AI Chatbot โ Click to expand
Intelligent conversational AI powered by Azure OpenAI & FastAPI
| Feature | Description |
|---|---|
| ๐ง AI Engine | Azure OpenAI GPT-4 with LangChain orchestration |
| ๐ฌ Memory | Persistent conversation context with Redis |
| โก Streaming | Real-time token streaming responses |
| ๐ Security | Azure AD authentication, rate limiting |
| ๐ณ Deployment | Docker containerized, Azure App Service ready |
# Quick Start
pip install azure-ai-chatbot
chatbot = AzureChatbot(config="azure-openai.yaml")
response = await chatbot.chat("Explain cloud architecture patterns")Tech Stack: Python FastAPI Azure OpenAI LangChain Redis Docker
โก FastAPI Microservices Template โ Click to expand
Production-ready template for building scalable microservices on Azure
| Feature | Description |
|---|---|
| ๐๏ธ Architecture | Clean architecture with domain-driven design |
| ๐ Auth | JWT + Azure AD integration |
| ๐ Observability | Structured logging, Azure Monitor integration |
| ๐งช Testing | Pytest with 90%+ coverage targets |
| ๐ CI/CD | GitHub Actions โ Azure Container Apps |
Tech Stack: FastAPI PostgreSQL Docker Azure Container Apps Terraform
๐ง Azure Automation Scripts โ Click to expand
PowerShell toolkit for Azure resource management & cost optimization
| Script | Purpose |
|---|---|
Optimize-AzureCosts.ps1 |
Identify and resize underutilized resources |
Backup-AzureResources.ps1 |
Automated backup with retention policies |
Monitor-AzureHealth.ps1 |
Real-time alerting & health dashboards |
Deploy-AzureInfra.ps1 |
Idempotent infrastructure deployment |
Tech Stack: PowerShell Azure CLI Azure Resource Manager Azure Monitor
๐ Azure Cost Optimizer โ Click to expand
Intelligent cost analysis & optimization recommendations
| Feature | Description |
|---|---|
| ๐ Analytics | Cost trends, anomaly detection |
| ๐ก Recommendations | AI-powered optimization suggestions |
| ๐ง Reports | Scheduled email reports & dashboards |
| ๐ฏ Budgets | Budget alerts & forecasting |
Tech Stack: Python Azure SDK Azure Cost Management API Power BI
| ๐ญ Exploring | ๐ Learning | ๐ Building |
|---|---|---|
| Azure AI Studio & Copilot Stack | Advanced RAG patterns | Reusable AI components |
| Multi-agent AI systems | Vector databases (Qdrant, Pinecone) | Open-source tools |
| Serverless event-driven architectures | MLOps best practices | Community contributions |
I'm open for opportunities in:
| ๐ก Consulting | ๐ค Open Source | ๐ Content | ๐ฏ Challenges |
|---|---|---|---|
| Cloud architecture | AI/ML projects | Technical blogs | Complex problems |
| Azure migrations | Python tooling | Documentation | Hackathons |
| AI integration | DevOps automation | Tutorials | POC development |
โญ If you find my work interesting, consider giving my repos a star!
Made with โค๏ธ by Rahul Chamoli



