From systems thinking to AI architecture.
The market does not need another AI enthusiast or prompt engineer. It needs people who can understand problems, map systems, design workflows, create architectures, and bridge business and technology. That is the role I occupy.
My career spans nursing, operations, design, content, and AI. Read naively, that looks like many unrelated jobs. Read correctly, it is evidence of one capability: years observing how people, processes, and systems work under pressure, now expressed as AI systems architecture.
Clients do not buy implementation. They buy clarity, systems, speed, leverage, risk reduction, and operational improvement. I sell thinking and architecture, with implementation as follow-through.
// Current role
AI Content Producer and AI Solutions Architect at KAIA, an Emmy-winning visualization agency serving NASA, DARPA, MIT, Disney, Nike, and FAA.
View case studiesTechnical Arsenal
AI Systems
Web Engineering
Automation
Creative & Content
Core Principles
Architecture before implementation
Map the system, workflows, and constraints before choosing or building any tool.
Workflows over software
Most businesses do not have a software problem. They have a process debt problem.
Human outcomes before technology
AI is the medium, not the objective. Design for the people who use the system.
Let's map your system
Book a discovery call to discuss architecture before implementation.