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.
- 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.
- 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.
- 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
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