01
Agriculture2024 — present
Hyperspectral crop analytics
Hyperspectral imagery pipeline for detecting crop stress and yield prediction across large-acreage farms.
Computer VisionRemote SensingPythonRust
The engineer
founders call when
they need it built right.
I'm a senior consultant — computer vision, machine learning, and full-stack. I work closely with a small set of teams at once, thanks to a workflow built around agentic coding. I take fewer clients than an agency, and I stay longer.
Book a scoping call
Thirty minutes.No pitch deck.
Currently building inAgricultureConstructionField ServicesConsumer Mobile
Selected work
A range
by design.
No two clients in the same lane — it keeps the judgment sharp. References available under NDA. Public case studies in the works.
How I work
No drama.
Just ship.
Consulting goes sideways in the same few places. I've taken each one out of the equation.
01
Scoping call
Thirty minutes. We talk about the problem, not my resume. If I'm not the right fit, I'll tell you.
02
Written proposal
A short doc — what I'll do, how I'll measure it, what it costs, what I need from you.
03
Ship weekly
Something tangible every week. Demos, not status updates. You always know where things stand.
04
Hand off or stay
I write code your team can own. Stay on as long as it's useful — leave cleanly when it's not.
Engagement models
Three shapes.
Flexible terms.
I currently hold a mix of cash-only, cash+equity, and pure hourly engagements. Rates are a first-call conversation — every deal is a little different.
01 · most common
Monthly retainer
Ongoing fractional engineering — a fixed monthly rate, sometimes paired with equity for early-stage teams I believe in.
Best for: startups who need a senior engineer in the room every week.
02
Hourly
Flexible hourly engagements, typically a set block of hours per month. Good for specific workstreams or fractional technical leadership.
Best for: teams with a defined problem and a clear scope.
03
Advisory / specialist
Short, high-leverage engagements — architecture reviews, hiring a CTO, unblocking a CV or ML problem, setting up an agentic workflow.
Best for: founders and CTOs who need senior judgment, fast.
About
One engineer.
Computer-vision-trained.
Allergic to bureaucracy.
I earned my masters in computer vision at BYU, then continued into doctoral research there. I stopped short of the dissertation — the field was moving and I wanted to be shipping. The academic training still informs every project I take on.
Today my practice is deliberately narrow: a small set of long-running engagements, a workflow built around agentic coding, and a bias toward demos over documents. If your team needs a senior engineer who will actually be there — I'd like to talk.
M.S.
Computer Vision, BYU
ABD
Doctoral research
10+
Years shipping