These aren't just projects—they're complex challenges that required strategic thinking, technical depth, and relentless execution. Each one taught me something new about building systems at scale.
Complex Policy Implementation at Scale
California's Rule 2305 is one of the most complex environmental regulations in the nation— a 200+ page document governing emissions reporting for the South Coast Air Quality Management District, serving 17 million residents. The existing system was fragmented, manual, and couldn't scale to meet regulatory demands.
I led the requirements analysis and system architecture for WAIREPOP (Warehouse Actions and Investments to Reduce Emissions from Ports and Operators of Ports) and ISR (Indirect Source Review) system. This meant translating dense regulatory language into executable technical specifications, coordinating with air quality experts, and ensuring the system could handle real-time emissions calculations.
A 40+ year IT veteran who reviewed the system called it "one of the most complex systems I've ever worked on." The platform now serves the nation's largest air quality district, enabling automated enforcement and public transparency for environmental compliance. Recognized with an EPA Clean Air Excellence Award.
Multi-Agent Orchestration System
Enterprise consulting depends on expertise that lives in people's heads. When senior consultants leave, decades of domain knowledge walk out the door. The challenge: how do you capture, systematize, and scale institutional expertise so it's accessible to everyone?
I architected and led development of an AI orchestration platform that goes beyond simple chatbots. This system uses 9 specialized agents—Requirements Analyst, UX Designer, Infrastructure Engineer, QA Specialist, and more—that collaborate on complex problems, hand off tasks, and produce deliverables that individual AI cannot.
50% faster product delivery cycles. 95%+ developer satisfaction. $2.6M projected annual cost savings. But the real win? Organizational capability that outlasts any individual project—expertise that scales across teams and clients.
$622K Portfolio Delivery
Kubota Credit USA needed a coordinated digital transformation across multiple systems— authentication, methodology frameworks, and core platform development. The complexity? Four interrelated projects with shared dependencies, 14-18 FTE resources, and executives expecting predictable delivery.
I served as the program lead, orchestrating cross-functional teams across all four projects. This meant creating unified timelines, managing inter-project dependencies, and maintaining the kind of estimation accuracy that builds executive trust.
100% on-time delivery with 8.8% estimation variance—3× better than the industry standard of ±30-50%. The frameworks we created became the standard for future enterprise engagements. Client expanded discussions for additional work.
15-Day Mission-Critical Launch
COVID-19 vaccines were ready. California needed a statewide distribution coordination system. The timeline? 15 days. Failure wasn't an option—lives depended on it. This meant coordinating state agencies, healthcare providers, and technology teams under extreme pressure with zero margin for error.
I led requirements analysis and cross-functional coordination for the rapid deployment. This meant conducting compressed stakeholder interviews, separating critical needs from nice-to-haves, and ensuring every team understood exactly what needed to ship and when.
Deployed on time. Millions of California residents served. The system enabled coordinated vaccine rollout across the state during the most critical period of the pandemic. Recognized with a CIO 100 Award for technology leadership.
I don't just talk about systems—I build and operate them. These are projects from my homelab that demonstrate platform engineering, DevOps, and infrastructure architecture.
Unified "single pane of glass" for my entire infrastructure. Express/TypeScript server + Vite/React client behind Authentik SSO. Modular connector architecture pulling real-time data from Docker, Jenkins, ZeroTier/Tailscale, Gitbox, and all public properties.
Stack: Express, React, TypeScript, Docker Compose, Authentik OIDC, SQLite, ZeroTier, Tailscale
Blockchain-enabled AI platform combining NFT marketplace (Doginals) with AI image generation and social features. Full-stack development with custodial wallet system and multi-agent content creation.
Stack: React 18, Vite, Node.js, Express, MongoDB, Dogecoin RPC, Fireworks.ai
Single Pane of Glass for Distributed Infrastructure
Managing a distributed homelab infrastructure across multiple machines, networks, and services creates visibility gaps. Docker containers, CI/CD pipelines, mesh networks, Git repositories, backup systems, and public websites—each with their own monitoring tools, none talking to each other.
Built a unified dashboard providing single-pane-of-glass visibility across the entire stack. Express/TypeScript backend with modular connector architecture, Vite/React frontend with real-time status cards, and Authentik OIDC for secure access control.
This project demonstrates the same skills needed for enterprise AI infrastructure: connector architecture (like RAG pipeline integrations), unified data aggregation (like knowledge graph construction), access control (like governance over AI systems), and extensible design (add new data sources without rewriting the core). If I can build this for infrastructure, I can build it for knowledge systems.
I love talking about complex systems, strategic delivery, and the intersection of AI and knowledge engineering. Let's connect.