Open to product and customer success engineer roles: renewable energy & AI tooling
I turn customer problems into software that ships.
Five years in renewable-energy B2B SaaS, usually the first person a Fortune 500 wind client talks to. I find the problem under a client request or a slow internal process, then spec, build, and run the tools that fix it: shipped, in use, and documented here.
Start here
All 8 case studies →Three projects, three kinds of work: a build with its PRD and API, an internal tool whose specification is published, and a proposal for a product I use. Internal builds I can't show in public are shared by email.
Every blank, filled.Prize Stats
A stats API that fills the weekly fantasy football prize results two league platforms could not answer, backtested against weeks I had already settled by hand.
Findings in, findings converted.Anomaly Upload Validator
Checks wind turbine blade inspection findings for required fields and automates the two-step damage taxonomy conversion, taking customer success out of manual validation and engineering off the critical path. The tool is internal; the specification documents are published.
Google Maps: road name corrections
An independent product proposal: residents with the official record of their road's name have no way to hand it to the map. Built from my own rejected corrections and a county records inquiry.
Browse by skill
Every case study, sorted by what it shows.
Process
The lifecycle, shown in the work
Method is easy to assert and hard to prove. Each stage points at the exact section of a build where that decision got made, so you can check it instead of taking my word for it.