AI systems, agentic products, geospatial platforms, and backend infrastructure I've built — from experiential navigation and multi-agent engines to identity, payments, and messaging at scale.
The company's flagship product, built from scratch — guided, narrated city journeys with H3 geospatial indexing, real-time routing, and waypoint reasoning, aimed at metros like New York and London.
Orchestrates LLM agents, retrieval, and deterministic tools to generate grounded, place-aware stories and navigation cues at scale, with per-provider concurrency isolation and rate-limit-aware scheduling.
Pairs an open-source VLM (UI-TARS) with an LLM to verify and sharpen POI physical coordinates from street-level imagery, improving last-mile accuracy of story delivery.
Agentic multi-source pipeline that discovers, resolves, and structures what is known about each place (incl. NYC civic datasets) — the ground-truth data layer the product is built on.
Fuses open boundary datasets (OSM/Overture) with visual intelligence to resolve the true boundary of popular places — 89% clean-polygon accuracy, zero misses — productionized with a full audit trail.
An OpenTelemetry standard instrumenting LLM/VLM/TTS/tool calls with traces, latency, and real per-provider dollar-cost across ~140 call sites on AWS.
RAG system chaining open-source Llama-3 models with vector-grounded search and human-in-the-loop safety gate, pushing factual accuracy from 88% to 97%.
H3-based entity resolution system for consolidating multi-source identity and location data with 95%+ match precision.
Led migration of legacy on-prem Layer7 API gateway to cloud-native microservices on AWS with improved resilience and security hardening.
RFC-6238 compliant multi-factor authentication implementation reducing authentication failures and improving device onboarding.
Full SSO solution using Forgerock IDP with OAuth/OIDC flows, consent handling, and policy-based access control.
Messaging server handling 40M+ messages/day with low-latency fan-out for real-time communication.
Microservice using embeddings and Elasticsearch for semantic search across millions of documents.
Docusign-integrated workflow system reducing advisor turnaround times by 50%.
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