Football Data Pipeline
Collection and normalization across fixtures, teams, players, tables, and event-rich match sources. Designed around retries, source differences, and data that changes after the final whistle.
Selected systems
Not a gallery of technologies. Each project starts with an unruly source, passes through a decision layer, and leaves behind something dependable.
01 / Sports intelligence
Collection and normalization across fixtures, teams, players, tables, and event-rich match sources. Designed around retries, source differences, and data that changes after the final whistle.
An entity-matching layer for the same club, player, or fixture represented differently by multiple football platforms.
02 / Medical research systems
A retrieval workflow for bibliographic records, abstracts, identifiers, and source links. Results can be filtered, deduplicated, and grouped around a research question before review.
A review surface for grouping papers by question, population, intervention, outcome, study design, and review status while keeping citations attached to claims.
An assisted workflow for drafting review-ready briefs from a defined source set, with unresolved claims and conflicting findings kept visible.
03 / Legal operations
A structured workflow for assembling legal records, generating documents from approved templates, and keeping review states visible.
Automation for preparing submission packages and routing them into an office or court process while preserving a human review boundary.
04 / Experiments