Shawn Weekly

Shawn Weekly

Technical Strategist & Enterprise Architect

For more than two decades, I've been hands-on in the electrical utility world, solving real-world problems in power delivery design and operations technology. These days, I'm diving deep into AI and Knowledge Graphs to crack the tough challenges that traditional software struggles with. My main goal? Making complex systems that actually work.

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About Me

With over two decades of hands-on experience, I am a technical strategist and enterprise architect specializing in applying advanced AI and Knowledge Graph solutions to complex problems, particularly within the electrical utility sector. I build, deploy, and prove systems that work, focusing on leveraging cutting-edge tools to deliver tangible business value.

My Core Strengths

Leveraging two decades of experience to build resilient, intelligent systems.

Enterprise Architect

Designing scalable, integrated solutions for complex business challenges.

AI & Knowledge Graphs

Building trustworthy AI systems grounded in semantic data and deep context.

Full-Stack Development

Hands-on development from database to UI, ensuring production readiness.

Utility CIM Expert

Transforming utility operations with the Common Information Model (CIM).
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Featured Case Study: Cimbology

A highly-technical research project proving how GraphRAG can solve the "retiring expert" problem in the electrical utility industry.

The Challenge

Utility experts retiring, taking decades of undocumented knowledge with them.

The Solution

Designed and built Cimbology: a GraphRAG system blending AI with Knowledge Graphs.

The Result

Achieved 84.85% accuracy with full traceability, far surpassing baseline LLM's 77%.

View the Full Case Study

A Pragmatic Approach to AI in Development

I was (and still am in some cases) an AI skeptic. After years of leading dev teams, I've seen "magic bullets" fail. My Cimbology research proved that AI is a powerful force multiplier, but only when guided by expert human knowledge.

"AI is not a replacement for an expert; it's a tool to make an expert significantly more effective."

The key insight: Context is King. A baseline LLM behaves like a "dumb-but-fast" intern who has read every book but understood nothing. Add structured knowledge (via Knowledge Graphs) and verifiable citations (via advanced RAG), and suddenly your have a trustworthy assistant that's still very fast!

Core Principles

  • AI is the Assistant, not the Architect
    Use it for boilerplate, refactoring, and exploration under expert supervision
  • Context is King
    AI's value is proportional to the QUALITY of context you provide (GraphRAG > naive RAG)
  • Acceleration, not Abdication
    Know what to ask, how to ask it, and how to verify the output
Read My Full AI Philosophy

Open to Opportunities

Looking for a technical architect with deep AI and utility industry expertise? Let's talk about how I can contribute to your team. I'm seeking a technical leadership role in the electrical utility industry where I can apply my expertise in:

  • AI/ML system architecture and responsible deployment (GraphRAG, semantic search, retrieval systems)
  • Knowledge graph engineering and semantic technologies (RDF, OWL, SPARQL, triple stores)
  • CIM standard implementation and utility data modeling (IEC 61970/61968, power delivery, operations)
  • Enterprise .NET development and full-stack systems (C#, Azure, Blazor, Semantic Kernel)
  • BIM/CAD integration and automation (Autodesk Platform Services, AutoCAD, AutoCAD Electrical, Inventor)
  • Cloud infrastructure and DevOps (Azure administration, Linux/Windows systems, CI/CD pipelines)

Available: January 2026