About Cary

Cary Greenwood

I’m an AI engineer and data architect focused on turning ambitious ideas into systems teams can trust in production.

My work sits at the intersection of applied AI, workflow design, and adoption — from enterprise RAG systems and geospatial intelligence to field-deployed AI on active construction projects.

I care most about outcomes: reducing friction in real workflows, improving decision quality, and making advanced tools usable for the people closest to operations.

Across federal, commercial, and infrastructure contexts, my approach stays consistent: clarify intent, design for reliability, and ship measurable value.

You can browse active work in projects , read longer reflections in blog , and find shorter ideas in notes .

What I focus on
  • AI systems that connect directly to operational workflows (not demo-only tooling)
  • RAG and knowledge systems with attribution, evaluation, and governance
  • GeoAI and data platforms that combine spatial reasoning with modern ML workflows
  • Change management patterns that improve adoption and long-term maintainability