Cloud Infrastructure & DevOps Projects


Explore my cloud infrastructure projects featuring Azure services, Infrastructure as Code with Terraform, and automated ML pipelines.

Azure GenAI

A production-ready FastAPI application that integrates Azure OpenAI and Azure AI Search for enterprise AI solutions:

  • Chat API with GPT-4o integration for conversational AI
  • RAG-powered Q&A system with document search capabilities
  • Embedding generation API using Azure OpenAI text-embedding-3-small
  • Azure AI Search vector search for semantic document retrieval
  • Multi-agent system workflows for complex AI orchestration
  • Docker containerization and Kubernetes deployment configurations
  • CI/CD pipelines for automated deployment

Technologies: Python, FastAPI, Azure OpenAI, Azure AI Search, GPT-4o, RAG, Vector Search, Docker, Kubernetes, CI/CD

Key Features: Production-ready deployment, scalable architecture, enterprise-grade security


Terraform Infrastructure as Code

Infrastructure automation projects using Terraform for cloud resource provisioning:

  • Infrastructure as Code (IaC) best practices
  • Multi-cloud resource provisioning
  • Automated infrastructure deployment pipelines
  • State management and remote backends
  • Modular Terraform configurations for reusability
  • Infrastructure versioning and change management

Technologies: Terraform, HCL, Azure, AWS, Google Cloud Platform, CI/CD

Key Features: Reproducible infrastructure, automated provisioning, cost optimization


Supply Chain ML Pipeline (Cloud)

Cloud-native machine learning pipeline for supply chain optimization:

  • Apache Airflow for workflow orchestration in cloud environments
  • Cloud-based data processing and storage
  • Scalable ML model training and deployment
  • Automated pipeline scheduling and monitoring
  • Integration with cloud ML services
  • Cost-effective resource management

Technologies: Apache Airflow, Python, Cloud Storage, Cloud Compute, ML Services

Key Features: Scalable architecture, automated workflows, cloud-native design


Cloud Skills & Expertise

  • Microsoft Azure: Azure OpenAI, Azure AI Search, Azure ML, Azure Functions, Azure Storage
  • Google Cloud Platform: BigQuery ML, Cloud Functions, Cloud Storage, GCP ML Services
  • Infrastructure as Code: Terraform, ARM Templates, CloudFormation
  • Containerization: Docker, Kubernetes, Container Orchestration
  • CI/CD: GitHub Actions, Azure DevOps, Automated Deployment Pipelines