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.
Recent builds
Shipped work, plus internal builds I can't show in public. One of those now has its specification published here, even though the tool itself stays internal. The rest are shared by email.
Say it once, say it clearly.Get to the Point
A spoken-communication coach that scores a delivery on six metrics and highlights exactly where it drifted.
Every asset, one data layer.Gridledger
A product thesis for an open data layer across renewable energy assets: one asset model, open adapters for any vendor format, and eight stakeholder roles defined end to end.
Fleet-wide maintenance.FleetServ
An inspection platform for a fleet-maintenance business specced before the business existed: the truck's condition on the record first, with quoting, scheduling, and invoicing as what a finding turns into.
Surfacing buried tasks.Foreground
A WSJF-based prioritization engine that surfaces the work you keep putting off, and manages its own roadmap as a groomed backlog.
Every store, one trip.Off the Shelf
A household shopping PWA built for multi-store island runs: aisle-sorted lists, heat-safe trip sequencing, and a purchase memory that answers "have we tried this?" in the aisle.
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.