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Applied AI Engineer · Geospatial intelligence & production LLM systems · GCP native · Founder · NYC
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
trusound.com
Frontend Developer
June 24, 2026 – Present
VERA
February 21, 2026 – Present
VERA: Verified Evidence & Reasoning Architecture — a comprehensive framework for building trustworthy, auditable AI systems. Covers verification protocols, sovereignty patterns, trust architecture, maturity models, and governance across five levels — designed for solo practitioners through regulated enterprises.
View Projectdanielflugger
February 20, 2026 – Present
Applied AI Engineer building production systems where physical-world data meets enterprise intelligence. Geospatial · LLM orchestration · GCP native. Founder with 12 years operating the industries AI is now automating. NYC.
View Projectvendor-mesh-intelligence
February 20, 2026 – Present
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 ranked shortlists for property and design workflows. Built on 15 years of operational sourcing data. BigQuery + Vertex AI + React.
View Projectrag-doc-processor
February 20, 2026 – Present
Production RAG system for engineering document workflows. Ingests multi-source documents — RFPs, proposals, inspection reports — and generates structured outputs using grounded LLM retrieval via Vertex AI and Gemini Pro. Reduces first-draft generation from hours to minutes. FastAPI + Pydantic + Cloud Run.
View Projectgeoasset-verify-pipeline
February 20, 2026 – Present
Production ML pipeline for automated geospatial property verification. Cross-references property records, parcel boundaries, and document-claimed attributes against live geospatial data using PostGIS, Vertex AI, and BigQuery. Deployed for enterprise insurance and property clients — 70% reduction in manual review time.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AI/ML, backend development, and data engineering, with a strong emphasis on Python and GCP. While there is a 'danielflugger' project listing HTML, Shell, JavaScript, and CSS, the primary project portfolio does not align strongly with a dedicated 'Frontend Developer' role. The candidate's experience as a 'Founder with 12 years operating the industries AI is now automating' suggests an entrepreneurial mindset, which could be a good cultural fit for innovative environments, but the technical alignment for a frontend role is weak.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and an ability to translate complex requirements into functional systems. The focus on 'trustworthy, auditable AI systems' suggests an awareness of ethical and governance considerations in AI, which is a valuable soft skill. However, without specific assessment data, it's difficult to fully evaluate operational fit, stress handling, or team collaboration.