Matteo Bianchetti is an information systems architect and ontologist with eight years of experience building production knowledge graphs and ontology federations for e-commerce, finance, and conversational AI. He blends formal training—PhD in Logic and Philosophy of Mathematics and an MSc in Mathematics—with hands-on engineering (Python, RDF/OWL, SPARQL, RDFlib, RDFox, Protégé) to deliver scalable semantic solutions that augment LLMs and deterministic retrieval for reliable chatbots. Matteo has led end-to-end ontology programs from data ingestion and validation pipelines to Datalog/OWL inference rules and BERT-based alignment, and he has a track record of reducing manual workflows from days to minutes. He has published peer-reviewed work in top logic journals and applied mathematical logic to automated theorem proving for dialogue systems—an uncommon bridge between deep theory and applied ML. Recognized with a company-wide award at Varis, he currently applies his niche expertise on OpenAI’s GTM team while holding US permanent resident status.
8 years of coding experience
3 years of employment as a software developer
PhD Logic and Philosophy of Mathematics, PhD Logic and Philosophy of Mathematics at University of Notre Dame
Conservatorio di Musica "G. Verdi"
University of Milan
Bachelor of Arts - BA Piano performing, Bachelor of Arts - BA Piano performing at Istituto musicale Lettimi - Rimini (Italy)
Foundation degree Multi/Interdisciplinary Studies, Foundation degree Multi/Interdisciplinary Studies at Collegio di Milano
Italian, English, Greek, Latin, German, French, Spanish, Catalan, Chinese
Study adoption of geometric terms in non-geometric subjects.
Contributions:20 PRs, 35 pushes, 1 branch in 1 year 8 months
adoptiongeometricsubjects
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Matteo Bianchetti - Information Systems Architect - Ontologist