Raymond Spartz

Led architecture and delivery of AI-powered systems for government and large-scale real-estate data platforms. Designed and integrated LLM-based solutions including intelligent document processing, semantic search, workflow automation, and decision-support systems. Architected scalable AI pipelines for ingestion, embeddings, retrieval, model orchestration, and inference. Delivered AI-enabled platforms focused on workflow optimization, predictive insights, and large-scale data processing. Guided engineers on best practices for AI agents, RAG architectures, embeddings, and evaluation frameworks. Acted as primary client-facing AI architect advising on feasibility, AI strategy, risk, and implementation planning. Championed adoption of emerging AI with production-ready best practices across teams.

Leading frontend engineering for government and enterprise real-estate platforms and AI-powered features; responsibilities include architecture decisions, hands-on development, and cross-functional leadership.

Lead architecture and system design for enterprise and government real-estate platforms. Built scalable full-stack systems using TypeScript (client & server), Next.js, React, Node.js, Python, and Go. Delivered 8+ production platforms from technical discovery through deployment. Designed serverless and event-driven architectures emphasizing performance, reliability, and maintainability. Defined frontend state management standards and backend API contracts for complex data-driven applications. Acted as primary client-facing technical lead, running architecture reviews and delivery planning. Led and mentored engineers, enforcing clean code and engineering standards.