Company data lived in five places and zero answers. I unified product, banking and admin data into one warehouse and shipped a front-end that translates it for every team — growth patterns, revenue concentration, underwriting bottlenecks, in real time.
Open case study ↗The flagship product had legacy architecture and a dated approach. I ran market discovery across the apps that matter, defined a modern-fintech direction, and led the rebuild from zero — a new web and mobile experience that turns the company's current product 360°.
Open case study ↗The company's truth was scattered: product data in Postgres, money moving through Silicon Valley Bank and Astra, operational events in the admin. Nobody could answer "where is revenue coming from and where are we stuck?" without a day of manual work.
End to end: architecture decisions with engineering, the SQL and metric definitions, the visual design of every view, and weekly iteration with founders and sales on what each screen needed to answer.
The existing application carried years of legacy decisions — an approach that no longer matched what modern fintech users expect, and an architecture that made every new feature expensive.
Led the discovery, wrote the product thesis, prototyped flows with AI tooling (Claude Code, Cursor) before committing engineering time, and drove the rebuild with the founding team.
SHIPPING SOON — SCREENS COMING TO THIS PAGE.
I've spent 5+ years on the money side of products — credit at a unicorn, unit economics at a public company, commission earnings at a NY startup. The common thread: turning messy operational reality into instrumented systems people trust enough to decide with. I care about what a chart says and what it looks like — because those two things depend on each other.