Laurence Grosvenor-Duffy

I design and build information architectures, knowledge graphs, and data pipelines for consulting, startup, and independent engagements. My work spans semantic interoperability, ontology engineering, entity resolution, database-backed applications, and information governance.

I've built financial-data ingestion workflows that eliminated manual extraction and a canonical matching system that improved throughput by approximately three orders of magnitude, reduced complexity from approximately O(n²) to O(n), and raised top-5 match accuracy from 87% to 92%. I also contribute to knowledge graph and deliberation-system initiatives, advise startups on technical architecture and product direction, and work with RDF, OWL, SHACL, PostgreSQL, MongoDB, and SQLite.