Applied AI Engineer · Geospatial Intelligence & Production LLM Systems · GCP Native · Founder · NYC
I build production AI systems for industries where the data lives in the physical world.
Specialize in geospatial intelligence, LLM orchestration, and automated document workflows — specifically in domains where ground truth matters: property, infrastructure, asset verification, and supply chain.
Spent 12 years running a design-build manufacturing firm before moving fully into AI/ML engineering. That means I architect systems with an operator's understanding of where the friction actually is.
- Projects — GCP-native platforms across various projects
- Google for Developers — ML pipelines, GIS platforms, and LLM model architecture
- Google Developers Group - Providence — Organizer and community building featuring curriculum for 3,000+ developers and local universities
Python · TypeScript · PostGIS · BigQuery · Vertex AI
Gemini API · Claude API · FastAPI · Cloud Run · Pydantic
Google Maps Platform · Docker · RAG Systems · LLM Orchestration
| Repo | What it does | Stack |
|---|---|---|
| geoasset-verify-pipeline | Geospatial + ML pipeline for automated property verification | PostGIS · Vertex AI · BigQuery |
| rag-doc-processor | Production RAG system for engineering document workflows | Vertex AI · Pydantic · FastAPI |
| vendor-mesh-intelligence | LLM-powered procurement intelligence across 100+ vendor sources | Gemini API · BigQuery · React |
- Google Cloud Certified Associate Cloud Engineer
- MA, Computer Graphics & Programming — Emerson College
📍 New York, NY | linkedin.com/in/danielflugger