Solution Engineer @ Microsoft Cloud & AI Texas

Christopher Maldonado

I build reusable Azure AI reference architectures you can actually deploy.

Each project here is a self-contained reference pattern: an architecture diagram, step-by-step docs, testing and troubleshooting guides, and — where it makes sense — an azd template so you can stand it up with a single command. The goal is to turn recurring Cloud & AI questions into working, inspectable starting points.

Browse projects GitHub profile LinkedIn profile
Reference projects
9
Deployable with azd up
8
Tracks
3

All projects

Every project is a public GitHub repository with an architecture diagram, docs, and testing guidance.

All projects are MIT-licensed reference demos for testing and demonstration purposes only.

  • Architecture diagram: Foundry hosted agents behind an API Management AI gateway with identity, monitoring and network layers
    • Apps & AI
    • Infra
    • Runbook
    • MIT

    Secure Enterprise Agents Landing Zone

    Run enterprise AI agents securely: Foundry hosted agents behind an API Management AI gateway landing zone.

    • Microsoft Foundry (hosted agents)
    • Azure API Management (AI gateway)
    • Microsoft Entra Agent ID
    • Azure Container Apps
    • Application Insights
    • Azure Key Vault
    Deployable: azd up
  • Architecture diagram: API Management governance edge in front of an MCP gateway runtime on Kubernetes
    • Apps & AI
    • Infra
    • Runbook
    • MIT

    Governed MCP Tool Platform

    Enterprise governance for Model Context Protocol tools: one front door, identity propagation, and per-team quota and chargeback.

    • Azure API Management
    • Azure Kubernetes Service
    • Microsoft Entra ID
    • Azure API Center
    • Azure Cosmos DB
    • Application Insights
    Deployable: azd up
  • Architecture diagram: portal and governance API on Azure Container Apps behind Azure API Management as the AI and MCP gateway, with PostgreSQL budget ledger and token metrics to Application Insights
    • Apps & AI
    • Infra
    • App
    • MIT

    AI Cost Governance Gateway

    Real-time AI budget caps per team and agent, chargeback metrics, and governed MCP tools behind API Management.

    • Azure API Management (AI + MCP gateway)
    • Microsoft Foundry
    • Azure Container Apps
    • Azure Database for PostgreSQL
    • Microsoft Entra ID
    • Log Analytics
    Deployable: azd up
  • Architecture diagram: Fabric and Document Intelligence ingestion into Azure AI Search, consumed by a Copilot Studio or Foundry agent
    • Apps & AI
    • Runbook
    • MIT

    Document Q&A Knowledge Agent

    A reusable RAG knowledge-base pattern: ask questions over your documents and get cited answers.

    • Azure AI Search
    • Azure AI Document Intelligence
    • Microsoft Fabric (OneLake)
    • Copilot Studio
    • Microsoft Foundry
    • Azure Blob Storage
    Deployable: azd up
  • Architecture diagram: technical documents indexed into an Azure AI Search knowledge base exposed to GitHub Copilot over MCP
    • Apps & AI
    • Runbook
    • MIT

    Developer Docs Copilot Grounding

    Ground GitHub Copilot and VS Code agents in your technical documentation through an Azure AI Search knowledge base MCP endpoint.

    • Azure AI Search
    • Azure AI Document Intelligence
    • Microsoft Foundry
    • Azure Blob Storage
    • Azure Container Apps
    Deployable: azd up
  • Architecture diagram: the same invoice routed through Document Intelligence and Content Understanding into a side-by-side scorecard
    • Apps & AI
    • App
    • MIT

    Invoice Extraction: Document Intelligence vs. Content Understanding

    Compare Azure Document Intelligence and Content Understanding side by side for invoices whose vendor layouts keep changing.

    • Azure AI Document Intelligence
    • Azure AI Content Understanding
    • Microsoft Foundry
    Deployable: azd up
  • Architecture diagram: shared platform hosting Voice Live API, GPT Realtime API and Foundry voice agent options
    • Apps & AI
    • App
    • MIT

    Contact-Center Voice Agent Options

    Three ways to build a contact-center voice agent on Azure: Voice Live API, GPT Realtime API, and Foundry voice agents.

    • Azure AI Voice Live API
    • Azure OpenAI GPT Realtime API
    • Foundry Agent Service (voice agents)
    • Azure Communication Services
    • Azure Container Apps
    • Azure AI Search
    Deployable: azd up
  • Architecture diagram: browser client streaming audio to the Voice Live API with a real-time avatar
    • Apps & AI
    • App
    • MIT

    Voice Avatar Customer Assistant

    A real-time voice customer assistant with a lifelike avatar, built on the Azure AI Voice Live API.

    • Azure AI Speech (Voice Live API)
    • Azure text to speech avatar
    • Microsoft Foundry
    • Azure OpenAI (realtime)
    Deployable: azd up
  • Architecture diagram: Azure DevOps pipelines promoting Fabric items from a Dev workspace to a Prod workspace
    • Data
    • Workshop
    • MIT

    Fabric Dev-to-Prod CI/CD

    Promote Microsoft Fabric items from Dev to Prod with Azure DevOps, Git integration, and per-environment Direct Lake values.

    • Microsoft Fabric
    • Azure DevOps
    • Fabric Git integration
    • Direct Lake on OneLake
    • Fabric Variable Library
    • Microsoft Entra ID
    Guided workshop

About

I'm a Solution Engineer at Microsoft focused on Cloud & AI, based in Texas. Most of my work sits where generative AI meets enterprise reality: identity, governance, cost control, observability, and getting from a demo to something a platform team can own.

The areas I spend the most time in are Azure AI Foundry and agents, AI gateways with Azure API Management, retrieval-augmented generation and document AI, real-time voice AI, and data platforms with Microsoft Fabric.

Everything listed here is a personal reference project published to GitHub. Fork it, adapt it, and open an issue if something is unclear.