Justin O'Connor

Import existing Azure resources from rg-use2-infracodebase-v2-dev into Terraform code with full configuration fidelity including secrets, achieving zero-drift plan

A production-ready foundational layer for building AI agent platforms on Microsoft Azure. This workspace shows how to wire together Azure AI Foundry, API Management, API Center, and MCP to expose enterprise services to agents, with real infrastructure code that reflects the current state of the platform.

Complete Terraform infrastructure for building knowledge graphs and Graph-Augmented Retrieval (GraphRAG) pipelines on AWS. Includes Redshift, S3, MSK (Kafka), Glue for data ingestion; Neo4j graph database; SageMaker and Bedrock for ML processing; and Lambda/EC2/EKS for applications. Production-ready with VPC, security groups, encryption, and monitoring.