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danielflugger/README.md

Daniel Flügger

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.


Current work


Stack

Python · TypeScript · PostGIS · BigQuery · Vertex AI
Gemini API · Claude API · FastAPI · Cloud Run · Pydantic
Google Maps Platform · Docker · RAG Systems · LLM Orchestration

Featured repos

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

Certifications

  • Google Cloud Certified Associate Cloud Engineer
  • MA, Computer Graphics & Programming — Emerson College

📍 New York, NY  |  linkedin.com/in/danielflugger

Popular repositories Loading

  1. geoasset-verify-pipeline geoasset-verify-pipeline Public

    Production ML pipeline for automated geospatial property verification. Cross-references property records, parcel boundaries, and document-claimed attributes against live geospatial data using PostG…

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  2. rag-doc-processor rag-doc-processor Public

    Production RAG system for engineering document workflows. Ingests multi-source documents — RFPs, proposals, inspection reports — and generates structured outputs using grounded LLM retrieval via Ve…

    Python

  3. vendor-mesh-intelligence vendor-mesh-intelligence Public

    LLM-powered procurement intelligence across several hundred vendor sources. Aggregates supplier data, applies Gemini-powered semantic scoring to match vendors against project briefs, and generates …

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  4. danielflugger danielflugger Public

    Applied AI Engineer building production systems where physical-world data meets enterprise intelligence. Geospatial · LLM orchestration · GCP native. Founder with 15 years operating the industries …

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  5. VERA VERA Public

    VERA: Verified Evidence & Reasoning Architecture — a comprehensive framework for building trustworthy, auditable AI systems. Covers verification protocols, sovereignty patterns, trust architecture,…