⚡️ Founding Full Stack Software Engineer ⚡️

tl;dr

We're rebuilding bank compliance as an engineering problem. Today, auditors sample 5% of a fintech's files by hand and write findings in spreadsheets. We run the actual math on 100% of them — every dispute, every statement, every adverse-action notice — with deterministic rules and LLM-as-judge evaluation. You'll be one of the first engineers, building the agents and pipelines that reperform a bank's compliance at population scale. If you've shipped real LLM systems and want them to do something that matters, let's talk.

Why this exists

Before a fintech can issue a loan, send a statement, or resolve a dispute, its partner bank has to prove the whole operation followed the rules — Reg E, TILA, FCRA, SCRA, UDAAP, and dozens more. The way that's checked today hasn't changed in decades: consultants pull a small sample, eyeball it, and hope the other 95% looks the same.

It usually doesn't. On one Reg E engagement we reperformed the error-resolution math on 14,000+ disputes and surfaced timing and provisional-credit violations that no sample would have caught. On a TILA engagement we rebuilt daily balances and finance charges from raw platform data and found a systematic interest-method bug the bank had been disclosing incorrectly for months.