The short version
I work at the intersection of people, process, technology, and practical AI. In enterprise environments, that has meant Agile coaching, release train coordination, delivery habits, facilitation, and organizational process improvement.
In my independent work, it means helping people inspect the recurring workflows that waste time: scattered notes, repeated status updates, fragmented project knowledge, unclear handoffs, and workflow steps that should not depend on one person’s memory every week.
The shared theme is systems thinking: understand how the work moves, then improve the system around it.
Three connected parts of my work
Enterprise leadership
SAFe SPC, RTE, Scrum Master, Agile coaching, delivery coordination, and process improvement across complex team and program environments.
Workflow consulting
Focused reviews, audits, prototypes, documentation cleanup, and practical AI or automation support for workflows that need a clearer operating path.
Builder projects
GetPrompting, local AI systems, n8n workflows, RAG experiments, automation libraries, and technical case studies that show how I think through real systems.
My background
Agile leadership taught me how teams actually work, where communication breaks down, and why process improvements fail when they ignore real people.
Software delivery and systems work gave me the technical curiosity to understand how tools connect, where automation helps, and where it becomes maintenance debt.
Coaching and facilitation taught me how to explain complex ideas in a way people can actually use.
That mix is what I bring into enterprise delivery, AI workflows, automation, and practical systems.
Where I fit best
I’m a good fit when the work requires both operating judgment and technical curiosity: someone who can lead in a complex organization, map the human workflow, and prototype practical AI or automation support without overbuilding.