AI SYSTEMS & IMPLEMENTATION LEAD
I turn consequential, ambiguous human problems into systems that can be built, tested, operated, and explained.
Sixteen years in real estate taught me how people actually make decisions under pressure. Since 2025, I have applied that same systems instinct to persistent AI identity, sovereign memory, model routing, verification, business automation, and customer-facing AI products.
AI-native.
Judgment stays human.
I own the problem definition, architecture, constraints, interfaces, evaluation, integration, and operational acceptance. I use coding agents and specialist models heavily during implementation. I do not pretend generated code was handwritten, and I do not delegate judgment to the model.
CURRENT SYSTEMS & PRODUCTS
Founder & AI Systems Builder · 2025–present
Model-independent infrastructure for persistent AI identity, sovereign memory, provenance, bounded agent communication, and multi-model execution. Portions are covered by provisional and nonprovisional U.S. patent applications; protected mechanisms remain private.
Protocol and Python package · 2026–present
An MIT-licensed protocol replacing unbounded agent handoffs with typed, inspectable, evidence-bearing cards. Published with Pydantic models, JSON Schema validation, builders, semantic verification, MCP support, tests, examples, and a reproducible benchmark.
Product Architect & Builder · LocalPRO Realty · 2026–present
A DISC-aware AI field coach with six bounded coaching modules. Carried through interface design, authentication, PostgreSQL persistence, resilient streaming, model abstraction, billing architecture, storage, access controls, testing, and Vercel deployment.
Founder / Product Builder · 2024–present
A visual operating system for real-estate professionals with ADHD, grounded in sixteen years of production and more than a decade coaching working agents. Built as an operational layer that complements—not replaces—the customer's CRM.
Co-Founder / Go-to-Market & Domain Lead · 2025
A private client-centered real-estate communication concept. Owns customer journeys, positioning, requirements, pricing, adoption strategy, and real-estate subject matter; the technical co-founder owns development and product architecture.
SELECTED CAPABILITIES
Turn ambiguous customer problems into bounded requirements, architectures, implementation plans, and measurable acceptance criteria.
Integrate AI systems across Python and TypeScript services, APIs, databases, model providers, local inference, MCP surfaces, and web interfaces.
Diagnose retrieval, context, routing, memory lifecycle, provenance, failure attribution, and operational state.
Design evaluation harnesses, verification contracts, incident controls, recovery procedures, and honest evidence trails.
Carry work from discovery and product definition through implementation, testing, documentation, deployment, and operational acceptance.
Translate technical tradeoffs for customers and stakeholders without sanding away the parts that actually matter.
OPERATING HISTORY
Leads practical business development for working agents while maintaining an active client practice.
Operates an independent residential business spanning acquisition, negotiation, marketing, transaction execution, technology, and vendors.
Built a long-running residential practice, owned a full-service team, coordinated education, and managed property and customer operations.
Helped newly licensed Realtors translate credentialing into practical production.
FOUNDATION
Master of Public Administration
Nonprofit Management · Texas Tech University · 2010
Bachelor of Arts
Political Science · Texas Tech University · 2007
Python, FastAPI, TypeScript, React, Next.js, PostgreSQL/pgvector, Redis, ChromaDB/FAISS, APIs, OAuth, webhooks, MCP, Git, Stripe, Vercel, Cloudflare, local inference, and cloud model APIs.
Applied AI Solutions · AI Implementation · AI Operations & Enablement · Technical Product · Customer Engineering · Solutions Architecture · Forward-Deployed-Adjacent Delivery