I build and test AI-assisted workflows that connect models, APIs, browser automation, documentation, and human review. My edge is operational discipline: clear inputs and outputs, bounded tools, approval points, and visible failure handling.
The value of AI is not the demo. It is what happens when a system meets ambiguity, people, constraints, and consequences.
My work sits between business intent and technical execution: define the problem, build the workflow, create the review loop, and make the result usable.
Through Outlaw Intelligence, I have been building and testing a hands-on AI operating environment—not a collection of disconnected prompts.
It connects agent routing, contextual memory, tool use, knowledge management, browser automation, customer-facing interfaces, and human review into repeatable workflows.
The north star → useful, understandable, reliable
Portfolio scope → prototypes and internal systems are labeled; no sensitive TSA information is shown.
Turn ambiguous needs into requirements, workflows, documentation, and adoption paths.
Route work to the right capability with context, bounded tasks, and clear handoffs.
Use QA gates, evidence, and human approval where failure is expensive.
Design for maintainability, observability, and the person who must use the result.
A portfolio of applied systems built to solve real workflow, knowledge, customer, and operational problems.
A multi-agent operating model for routing research, implementation, review, and execution work across specialized capabilities. Designed around bounded tasks, contextual handoffs, review checkpoints, and visible failure.
Customer-facing websites that combine clear conversion paths with LLM-powered chat experiences, lead capture, and structured follow-up. The goal is not “add a chatbot”—it is reduce friction between intent and action.
A structured internal environment for durable documentation, contextual retrieval, remote command, state visibility, and human review. It connects the knowledge layer to the operating layer without pretending every component is production software.
I am moving from mission-critical operations and workforce systems into AI implementation and platform operations—supported by hands-on portfolio building, not inflated enterprise claims.
Coordinate workforce operations, onboarding execution, staffing strategy, and workforce systems supporting more than 430 personnel.
Directed workforce deployment and operational readiness for 363 officers in a high-consequence environment.
Design and build practical AI workflow systems for research, reporting, customer interaction, knowledge management, and agent operations.
I am strongest where systems, people, and implementation meet—and I can work down into the tools when the problem requires it.
I am looking for a team building useful AI products—not theater. Open to AI implementation, AI platform operations, workflow automation, AI QA/evaluation, and AI business-systems conversations.