Archive Capital

I am working with Archive Capital to build automated tools: data pipelines that ingest, clean, and refresh the metrics we rely on; graphs and dashboards for research and review; and automation around client forms so recurring submissions and checklists are not stuck in one-off spreadsheets or manual handoffs.

The wider picture is still an internal research stack — a Next.js platform (UCITS console, env-based access), Python pipelines across UCITS, DBMF/ASMF, combined portfolio work, Financial Times funds tooling, and scheduled jobs — with a deliberate split between deployable apps, repeatable jobs, shared canonical data, and generated outputs so new work does not collapse into one-off scripts.