Applied AI / AI platform work
AppAssist, OpenClaw, and current product work · Current
Built applied AI systems and product software spanning multi-agent workflow orchestration, app-launch tooling, trusted knowledge pipelines, production answer delivery, and operator-facing SaaS products.
- Designed tool-enabled AI workflows with structured outputs, durable state, workflow routing, browser/messaging integrations, and guarded execution patterns
- Built trusted knowledge products across document ingestion, citations, review states, retrieval, releases, APIs, widgets, analytics, evals, and RBAC
- Built workflow SaaS across app launch, proposal/payment/kickoff workflows, revenue follow-through, and customer-facing operator controls
- Handled webhook/API integration, operator review controls, launch hardening, release flows, and the operational infrastructure needed to run shipped products
CTO / Lead Engineer (0-to-1)
Tour Trader Pro, Inc. · Nov 2021 – Jul 2025
Architected and built the full stack for a regulated event-wagering platform across Flutter mobile, React web, PHP + SQL Server backend, and Azure infrastructure.
- Designed the real-time pricing engine and the workflows needed for certification, monitoring, and production execution
- Integrated 6+ third-party APIs and improved reliability with caching, rate-limit handling, observability, and incident response during peak event windows
- Owned CI/CD, alerting, audit-friendly logging, and production operations; supported GLI-33 certification for Tour Trader Pro and Player Options
- Onboarded engineers with architecture walkthroughs, documentation, and lightweight planning/review practices
Founder / Lead Engineer
RAADZ, Inc. · Jun 2017 – Dec 2024
Designed and evolved a full-stack prediction and gamified survey platform used by 20k+ registered participants, with analytics and admin tooling for day-to-day operations.
- Raised $500K+ and translated customer and market ambiguity into a shipped, iterated software platform
- Integrated LLM-powered workflows using OpenAI APIs for summarization, in-app Q&A, survey analysis, and insight generation
- Built data handling, permissions, analytics, and operational workflows with strong attention to reliability, user trust, and product learning
- Issued U.S. patents in predictive modeling systems: US 11,669,848 and US 11,915,265
Product Engineer / Lead Developer
Boss Industries, Inc. · Jan 2008 – Jun 2017
Led development of B-CAN control software in C++ for under-deck PTO air compressor systems, combining embedded control logic, diagnostics, and rugged field-facing UI workflows.
- Reduced installation time for compressor system kits from about 8 hours to about 2 hours by simplifying control and safety integration through a single CAN connection
- Adds long-term engineering depth across embedded systems, field constraints, diagnostics, and reliability-focused software
- Built for real-world reliability, installation constraints, and field use
Founding Engineer (0-to-1)
mBark · Jun 2024 – Aug 2024
Built and launched an end-to-end Flutter mobile MVP for dog-friendly discovery in under two months, including map/list search, favorites, reviews, and rewards features.
- Implemented Firebase Auth, push notifications, Azure-hosted backend services, and third-party location/place integrations
- Shipped frequent product iterations with a strong focus on usable search, browse, and review workflows
- Shipped a consumer mobile MVP quickly while covering auth, maps, reviews, rewards, and location-backed discovery workflows