Solutions Architect in Boston, looking for GTM Engineer roles.
I build small, AI-assisted tools that solve real workflow problems — the kind of internal leverage that revenue and operations teams need but rarely have time to ship themselves.
I work with Claude Code as a co-builder. That lets me move from "I have an idea" to "the tool exists and runs against real data" in hours instead of weeks. Everything pinned below was built this way: solo, end-to-end, against problems I or my colleagues actually had.
Pairing engineering with AI to compress build cycles is the same approach I'd bring to a GTM Engineering team.
- doc-review-pipeline — Batch document reviewer that pulls .docx attachments out of emails (.msg/.eml), runs them through Claude, and writes structured analysis to a tracker. Built to replace a manual review queue.
- query-db-direct — SQLite exploration tool with schema discovery and dynamic query suggestion. Designed so AI agents can use it as readily as humans can.
- media-wall — Local masonry-grid media viewer with autoplay, tagging, and filtering. A self-hosted alternative to cloud galleries.
- archive-cracker — Utility for recovering personal media from locked .rar archives.
More in progress.
Solutions Architect by trade. I'm used to translating between business problems and technical systems, scoping work, and shipping fixes that stick. GTM Engineering is the natural extension — same instinct for unblocking revenue motions, more code in the mix.