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bcperry/README.md

Blaine Perry

Senior AI Solutions Architect | Forward-Deployed Engineering

I turn ambiguous enterprise problems into secure, production AI systems. My work spans customer discovery, architecture, hands-on engineering, deployment, and executive communication, with a focus on agentic AI, retrieval-augmented generation, Model Context Protocol, and cloud security.

At Microsoft, I lead technical decisions across major AI and data engagements. For strategic projects, I also build: Python and FastAPI services, React and TypeScript applications, agent orchestration, retrieval pipelines, enterprise integrations, infrastructure, CI/CD, security controls, and observability.

Selected impact

  • Lead architect and primary engineer for Ask Chief, an Army-wide maintenance and logistics AI platform delivered from discovery to production in eight months.
  • Indexed more than 26,000 technical manuals and connected authorized operational data through MCP and Azure Synapse, reducing complex maintenance research from days to minutes.
  • Scaled adoption from approximately 200 unique users on launch day to thousands of weekly users in a secure IL5 environment.

Selected projects

  • Web Agents — Full-stack multi-agent platform with configurable SQL, search, and hybrid agents, secure user persistence, visible tool calls, and autonomous scheduling.
  • Azure AI Search with MCP — MCP-based RAG reference architecture with hybrid retrieval, Entra authentication, managed identities, and automated Azure Government deployment.
  • Captain's Log — Full-stack transcription and analysis using React, FastAPI, Azure Speech, Azure OpenAI, and Entra ID.
  • DUCE: Zero-Shot Object Detection — CLIP and Faster R-CNN detector that outperformed YOLOv5 on classes withheld from task-specific training.
  • Local LLM Stack — Dockerized Ollama and Open WebUI stack with GPU acceleration and supporting services.
  • Power BI MCP — Authenticated MCP server for exploring and querying Power BI semantic models.

Technical focus

  • Applied AI: Microsoft Agent Framework, agentic systems, RAG, MCP, LLM evaluation, Azure OpenAI, OpenAI API, local LLMs, Ollama
  • Engineering: Python, FastAPI, React, TypeScript, SQL, PostgreSQL, Docker, automated testing
  • Azure: AI Foundry, AI Search, Machine Learning, Synapse Analytics, App Service, Entra ID, managed identities, Azure DevOps, Terraform
  • Traditional ML: Computer vision, object detection, fine-tuning, experimental design, statistical analysis

Connect

LinkedIn · Huntsville, Alabama · Open to remote opportunities and up to 25% travel

Pinned Loading

  1. web-agents web-agents Public

    Full-stack multi-agent platform with configurable SQL, search, and hybrid agents, secure user persistence, autonomous scheduling, and Azure deployment.

    Python

  2. captains-log-demo captains-log-demo Public

    Full-stack transcription and analysis app using React, FastAPI, Azure Speech, Azure OpenAI, and Entra ID.

    Python 1

  3. DUCE-Zero-shot-Object-Detection-with-a-Text-and-Image-Contrastive-Model DUCE-Zero-shot-Object-Detection-with-a-Text-and-Image-Contrastive-Model Public

    Zero-shot object detection with CLIP and Faster R-CNN, outperforming YOLOv5 on COCO classes withheld from task-specific training.

    Jupyter Notebook 1

  4. AI_search_with_mcp AI_search_with_mcp Public

    Production-ready Azure AI Search MCP server with hybrid retrieval, Entra ID, managed identities, and automated Azure Government deployment.

    Bicep

  5. local_llm local_llm Public

    Dockerized local LLM stack with Ollama, Open WebUI, GPU acceleration, and supporting services.

    1

  6. pbi-mcp pbi-mcp Public

    Authenticated MCP server for exploring and querying Power BI semantic models with Azure identity.

    HTML