Case studies

Selected systems I have designed, built and operate in production. The source code is public, so you can evaluate the work before we speak.

A data platform that scores stock trades by Congress members, corporate insiders and funds.

Challenge: Congressional, insider (SEC Form 4) and institutional (13F) trade disclosures are public, but scattered across sources and formats — with no way to tell which signals have actually worked.
Solution: A platform that ingests all three sources, scores each stock by who is buying, and weights each trader by how their past purchases performed against the S&P 500.
Result: Runs in production with nightly encrypted backups and monitoring. Every score is recorded, so its accuracy at 30, 60 and 90 days is measured rather than claimed.

PythonFastAPIPostgreSQLReactDocker

Lets Claude and other AI assistants query InsiderTrack in plain English.

Challenge: Cross-cutting questions — are insiders and Congress members buying the same stock, and how good is that member's record? — meant clicking through several pages.
Solution: A Model Context Protocol server that gives AI assistants safe access to the platform: read-only by design, token-gated, rate-limited and audit-logged.
Result: Questions that took several screens are answered in a single request, with no way for the assistant to change data.

PythonMCPDocker

Live transcription and structured notes for university lectures.

Challenge: Keeping complete, accurate notes while following a fast-paced graduate lecture.
Solution: A web app that records from any browser, transcribes live, writes structured notes during class and answers questions afterwards from the transcript, notes and slides.
Result: In daily use for a graduate course since March 2026. Exports to PDF, Word, Markdown or the user's own Google Drive.

PythonWhisperPostgreSQLReactDocker