About Jonathan

37+ years of systems thinking — from precision manufacturing to enterprise AI ecosystems

From Precision Manufacturing to Enterprise Architecture

Military police operations (Desert Shield/Storm, Top Secret clearance, Stuttgart Germany) instilled discipline and operational excellence.

Machinist at Ventura Aerospace cutting satellite components taught precision and the consequences of failure at scale.

Tool-&-Die engineer at Seastrom Manufacturing designing progressive dies shaped thinking about system architecture and lifecycle.

IT Manager converting call centers from Token Ring to Ethernet at Ameritech proved that infrastructure drives capability.

Technical Director building 99.999% uptime trading infrastructure at Schwab demonstrated reliability as a competitive advantage.

Chief Architect at Yahoo and Principal Architect at PayPal governing enterprise AI stacks—this is where systems thinking meets machine intelligence.

Philosophy: Systems Thinking

Everything is a lifecycle. Every system has a birth, maturity, decline. Treat metadata as a weapon. Digital lifecycle management isn't just infrastructure—it's the key to understanding and predicting system behavior.

Risk is what you don't know. Visibility precedes control. Control precedes optimization.

Personal

Location: Payson, AZ

Fitness: Pilates reformer, gravity yoga, strength training

Interests: Outdoor activities, systems design, AI advancement

Background: US Veteran

The AI Ecosystem

Building smaller specialized solutions that aggregate into an ecosystem — each solving a distinct domain while sharing architectural patterns. LangGraph state machines, LLM-driven specialist nodes, and real-time observation UIs are the connective tissue.

Commander.ai

Orchestration & Command

Multi-agent task decomposition — the brain that delegates work across 8 specialist agents.

WorldMaker.ai

Lifecycle Intelligence

Enterprise digital asset lifecycle analysis — 22 views, 41 endpoints, code generation across 6 languages.

ml-pipeline.ai

Autonomous ML

Self-improving ML pipeline — raw data to trained model with LLM-powered Critic loop. Zero human intervention.

Certifications & Credentials

AWS Solutions Architect

AWS AI Practitioner

AWS ML Associate

Azure AI Engineer