Roles
2024 — Present Founder
Founder & Applied AI Engineer
Google Startups Accelerator · IDist ®
  • Building IDist ®, a geospatial intelligence and asset management platform accepted into the Google Startups Accelerator program — tracking, validating, and coordinating physical asset lifecycles across international operations
  • GCP-native architecture designed from scratch: Cloud Run, BigQuery, Vertex AI, PostGIS, Firestore, Cloud Functions — all services chosen for auditability and maintainability at enterprise scale
  • Designed and deployed production ML pipelines for document extraction (Gemini API), spatial reasoning (PostGIS), and asset specification matching — with structured output validation and full audit trail on every state change
  • Sole architect across the full stack: Next.js frontend, FastAPI backend, ML processing pipeline, and cloud infrastructure — zero-to-one in a production environment with real enterprise clients
GCP Vertex AI PostGIS BigQuery Cloud Run Gemini API Next.js FastAPI Firestore Python
View IDist ® Case Study →
2023 — Present Engineering
AI Engineer & ML Systems Builder
Independent Practice · Client Projects
  • Designed and built production AI systems for clients in insurance (LH-PVI: 70% reduction in claims processing time through unstructured-to-structured document intelligence pipeline), property intelligence (NYCID: unified 12+ NYC municipal data sources into per-property dossiers across 8.1M properties), and voice biometrics (Vera VB: longitudinal voice identity infrastructure, private beta)
  • Specialized in taking ML proof-of-concepts to production-ready systems: RAG architectures, document intelligence pipelines, geospatial data systems, and multi-layer verification infrastructure
  • Deep focus on observability-first design, structured output validation (Pydantic), and audit-trail architecture — every production system built with the assumption that it will need to be debugged, explained, and trusted under adversarial conditions
  • Stack: Python, FastAPI, Vertex AI, Gemini API, LangChain, PostGIS, BigQuery, Cloud Functions, Pydantic, Resemblyzer, Wav2Vec2
RAG Document AI Pydantic LangChain Vector DBs PostGIS BigQuery TypeScript
View LH-PVI Case Study → View NYCID Case Study → View Vera VB Case Study →
2023 — Present Research
Author & Framework Architect
The Proof Economy · VERA Framework
  • Published "The Proof Economy" — a thesis on value capture dynamics in the intelligence age, examining who captures margin when intelligence becomes infrastructure and verification becomes the scarce resource
  • Developed VERA (Verified Evidence & Reasoning Architecture): an open framework for building trustworthy, auditable AI systems with defined sovereignty patterns, maturity models, and governance architecture
  • 65,000-word technical documentation covering verification protocols, sovereignty patterns, exit-criteria planning, and multi-layer trust architecture
  • Framework adopted as architectural reference for multiple production systems including IDist ® and Vera VB — the theoretical and the applied in direct conversation
AI Governance Verification Systems Knowledge Architecture Technical Writing
Read The Proof Economy → Explore VERA →
2012 — 2023 Founder
Founder
NYC Interior Design · Residential Design Build & Brooklyn Furniture
  • Founded and operated a residential design-build firm in New York City and a custom furniture company in Brooklyn, specializing in upholstery, millwork, and bespoke woodwork
  • Managed complex multi-stakeholder projects across design, procurement, fabrication, and installation — the same lifecycle coordination that now underlies IDist ®'s procurement intelligence architecture
  • Deep expertise in NYC property, permitting, and construction workflows across 11 years of active residential work — domain knowledge that became the direct foundation for NYCID's data model and IDist ®'s asset lifecycle design
Residential Design Build Custom Furniture Procurement Management NYC Property
Community & Thought Leadership
2024 — Present GDG Network
Google Developer Groups — Providence
Co-Founder & Community Organizer
  • Co-founded and built the Providence chapter of Google Developer Groups from zero to 500+ members — part of the global GDG network spanning 150+ countries
  • Organize regular sessions on AI/ML, cloud architecture, and developer tooling — covering production patterns with GCP, Vertex AI, and Gemini API
GDG Providence →
Technical Stack
Cloud Infrastructure
GCP Native, Cloud Run, BigQuery, Firestore, Cloud Functions, Cloud Storage, IAM, Secret Manager
AI / ML
Vertex AI, Gemini API, Document AI, RAG Systems, Vector Databases, LangChain, Resemblyzer, Wav2Vec2, ECAPA-TDNN, Parselmouth
Spatial / Data
PostGIS, BigQuery GIS, NYC Open Data, ACRIS, Socrata APIs, geospatial pipelines, property & infrastructure data
Backend
Python, FastAPI, Pydantic, PostgreSQL, REST APIs, async architecture, Web Crypto API
Frontend
Next.js, TypeScript, React, HTML/CSS, data visualization, map rendering
Methodology
VERA verification protocol, observability-first, zero-knowledge architecture, longitudinal data design, sovereignty by design, exit-criteria planning
Portfolio

Four production AI systems — from geospatial intelligence to voice biometrics.

Asset management infrastructure, insurance document intelligence, NYC property dossiers, and voice biometric identity — each a case study in taking ML from proof-of-concept to production.

View Portfolio → Get in touch