Projects

A collection of projects demonstrating cloud infrastructure, AI engineering, and automation capabilities.

Outcome: Production-grade AI inference platform with secure CI/CD, semantic search, and cloud-native scalability.

Showcases: End-to-end Azure delivery with secretless deployment, real embeddings-based search, and full-stack API + UI integration.

Tech: .NET, Blazor Server, Python, FastAPI, sentence-transformers, Terraform, GitHub Actions, Docker, Azure Container Apps.

Outcome: Applied AI tooling layer with MCP interfaces, notebook evaluation workflows, and side-by-side API vs MCP usage.

Showcases: Multiple interaction layers for AI capabilities with a focus on inspectability, testing, and iteration speed.

Tech: Python, FastAPI, sentence-transformers, MCP, Jupyter Notebooks, .NET, Blazor Server.

Outcome: Azure AI Foundry gameplay baseline with contract-first outputs, evaluation loops, and optional memory persistence.

Showcases: Agent-driven turn loop design with deterministic controls, test-case-friendly prompting, and swappable engine strategies.

Tech: .NET 8, C#, Azure Functions, Azure Static Web Apps, Azure AI Foundry Agents, Azure Identity, Azure Cosmos DB, Blazor WASM.

Outcome: Repeatable local-to-cloud Open WebUI baseline with Dev Container workflow and Terraform-based Azure deployment.

Showcases: Consistent developer onboarding, infrastructure reproducibility, and production-minded platform defaults for scaling later.

Tech: Dev Containers, Docker, Docker Compose, Terraform, PowerShell, Azure Container Apps, Log Analytics, Azure Files.

Outcome: Template-quality static-first Azure web baseline with Functions API, Entra auth, and an agent-ready backend seam.

Showcases: One-domain static + API hosting with secure auth flow, clean contracts, and debuggable chat-style request handling.

Tech: .NET 8, C#, Blazor WebAssembly, Azure Functions v4, Azure Static Web Apps, Microsoft Entra ID, GitHub Actions.