I work across software, AI, product, creative technology, and business problems—learning the domain while I build and carrying ideas from fuzzy request to useful system.
The technology changes. The pattern doesn't: discover the real problem, make the unknowns smaller, build a working system, and leave people more capable than before.
Given GL-iNet hardware and an open-ended deployment problem, I learned the firmware/networking domain, designed an automated flashing and configuration workflow, field-tested it in Best Buy stores, and documented it for production handoff in China.
Result: scaled into large retail deployment with zero support calls or emails after handoff.
Read the case studyStarted with the question, “Can we build something like BrightSign?” I learned the domain, evaluated an existing codebase, and built a new platform spanning Ubuntu, Flutter, React, Python-based components, physical controls, multi-screen playback, and AI-assisted system inspection.
Result: a working end-to-end prototype for a new generation of signage tooling.
Read the case studyInstead of putting a frontier model in the critical path of every user interaction, I built a Drupal/Webform workflow where Claude generated structured YAML that could be reviewed and imported. Then I taught the client how to run the workflow independently.
Result: the domain expert created 50+ complex, dynamic assessments without needing a developer to author each one.
Read the case studyBuilt a Drupal-based system using Webforms, custom modules, dynamic scoring, and report generation to support EMS and ambulance-run workflows.
Result: 10,000+ ambulance-run reports in the system; customers reported fewer deficiencies and fines, and the company continues to grow.
Read the case studyBuilt a Selenium/Docker/Chrome testing approach that uses AI to scout and map an application, generate browser-test instructions, and keep tests aligned as the underlying system changes.
Result: caught defects before customers saw them and surfaced issues during a major security/dependency upgrade.
Read the case studyHelped create the company, designed the technical curriculum, trained the first development team, standardized the stack, established Agile delivery, and worked across architecture, engineering, operations, business development, and storytelling.
Result: the first cohort reached a paying client project within roughly six months; the company is still operating today.
Read the case studyI am most valuable when a problem crosses boundaries—creative and technical, business and engineering, hardware and software, expert knowledge and AI.
Agent workflows, AI-assisted development, local models, orchestration, evaluation, enablement, and practical decisions about where AI should—or should not—sit in a system.
Discovery, architecture, rapid prototyping, APIs, web/mobile applications, automation, integrations, deployment, and making messy workflows explicit.
Generative media, storytelling tools, interactive experiences, digital signage, physical controls, museum media, and software that supports creative work.
Teaching, technical mentoring, domain-expert collaboration, client discovery, team building, workforce development, and leaving behind systems people can operate without me.
My long-running R&D project for AI-native storytelling, world building, sequential art, publishing, and human/agent collaboration.
MiMEngine started as a comic-book builder and became the place where I test the harder questions: How should specialized agents hand work to each other? How do you preserve author intent? How do you make an AI workflow inspectable instead of magical? How do creative tools become systems instead of demos?
MiMEngine is both a product effort and a learning engine. It keeps me close to emerging AI tools while forcing those tools to survive contact with an actual creative product.
I grew up in eastern Kentucky around art, music, mountains, coal, and people who knew how to make things work with what they had.
My career has wandered through enterprise systems, startups, the U.S. Army, healthcare technology, education, digital signage, creative media, workforce development, and AI. From the outside that can look broad. From inside it has felt remarkably consistent: I get curious about a hard problem, learn enough of the domain to see the system, then build.
In 2017, Fast Company named me one of its 100 Most Creative People in Business for work connected to Bit Source and helping former coal-industry workers transition into software development.
I still like teaching. I still like writing code. I still like sitting with a strange problem long enough for the shape of the solution to appear.
I'm open to full-time roles where I can stay hands-on while helping teams turn ambiguous business or creative problems into useful systems—especially in applied AI, creative technology, product architecture, AI enablement, and forward-deployed work.
Remote is ideal. Kentucky is home. I'm also open to relocation or travel for the right team, mission, and opportunity to build.