I build useful products and systems for messy technical work. 13+ years across hardware, connected products, analytics, and the workflows around them.
Focus
Product | Growth | Analytics | Systems
Based In
Colorado Springs, CO
Products and experiments shaped around a specific problem, with the role and lesson made explicit.
An internal multi-agent system for research, content, product work, operations, and decision support.
AI-enabled compliance workflows for healthcare policies, evidence, risk assessment, and audit preparation.
An open-source task queue protocol for routing, retries, stale detection, and concurrency in multi-agent systems.
I started as an engineer, moved into product, and picked up a weirdly useful mix along the way: analytics, marketing, CRM/reporting, and program work.
I’ve worked across Baker Hughes, Viessmann, Orbex Group, and my own builds: DojoGate, DocHaven, ShieldRA, TaskMesh, and the AI workflow system I use to run a lot of this work.
The common thread is messy technical spaces: customer pain, data, internal workflows, launches, campaigns, dashboards, roadmaps, and teams that need to get aligned without turning everything into theater.
I’m strongest when someone needs to find the signal, organize the chaos, and get useful work shipped.
Years Exp.
Largest Portfolio
Rev. Scaled
Education
B.S. Aerospace & Mechanical Eng.
Oklahoma State University, 2009–2012
Industries
A few numbers and patterns from the kind of work I tend to end up in: scale, messy systems, cross-functional execution, and practical outcomes.
$5M-$275M+
Managed focused product lines and large multi-product portfolios.
385%
Scaled revenue in 12 months through product, pricing, marketing, and execution.
24h to 2h
Led a CRM migration and quoting rework that cut turnaround by 22 hours.
Want the deeper story?
Deeper professional experience and the context behind the outcomes live on the work page.
How I think about products, AI systems, and the workflows behind them. The thinking behind the work, in public.
Safety AI should not be judged by how well it watches. It should be judged by what happens after it thinks it saw something.
Read post →Most of the time, I do not need a better pep talk. I need reality to show up faster.
Read post →A task in my system emitted task.picked_up every thirty seconds for nearly an hour before it finally failed. That taught me more about trust than any clean demo ever could.
Read post →I recharge by being outside, building things, and chasing whatever I’m curious about next.
Running
Trails & road
Cycling
Mountain + road
Snowboarding
CO powder days
Hiking
14ers & beyond
Woodworking
Build & create
Aviation
Lifelong fascination
Space
Exploration & sci
Tech & Biology
How things work
Currently open to select projects and roles
Have a project where product, data, users, systems, and execution need to line up? I’d be glad to talk. I also welcome conversations about product, growth, analytics, BA/BSA, and project/program roles in technical spaces.