Pawel Garbacz is a Senior Knowledge Engineer and Full Professor with 11 years of professional experience and deep academic roots in logic (PhD) who specializes in ontology design, formal methods, and the BORO methodology for knowledge representation. He has led ontology practice and semantic web development across industry and research—from founding-level work at BORO Solutions to technical leadership at EDM Council and product-focused roles at MakoLab. Currently at Northell while holding a professorship, he bridges rigorous formal logic with practical semantic engineering to make complex enterprise knowledge auditable and interoperable. Notable for marrying theory and implementation, he routinely translates logical formalisms into usable ontologies and semantic architectures for real-world data governance and AI applications.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Logic, Doctor of Philosophy - PhD Logic at Katolicki Uniwersytet Lubelski Jana Pawła II
The AUTOMOTIVE ONTOLOGY (AUTO) defines the shared conceptual structures in the automotive industry. It is an OWL ontology. It is built upon the auto schema.org extension created by the W3C Automotive Ontology Community Group. AUTO's development process follows the best practices established by the EDMC FIBO Community.
Contributions:71 reviews, 135 commits, 82 PRs in 1 year 8 months
DevOps repository for ontology-publisher deployment
Contributions:17 reviews, 32 PRs, 60 pushes in 2 years 11 months
deploymentpublisherdevops
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Pawel Garbacz - Senior Knowledge Engineer at Northell