- Challenge
- Study life is scattered across calendars, reference managers and notes, with no single view of what is due, what is planned and what is worth reading. The goal was a real data platform, not a to-do app: ingestion, modelling, orchestration and serving, end to end.
- Outcome
- A single tenant platform running live for about twelve dollars a month, with observable pipelines and freshness tracking per source. It demonstrates the full data engineering loop: ingest, model, orchestrate, serve, and a grounded AI layer that refuses to invent citations.