Senior Director, Knowledge Engineering, Enterprise Data Organization
Warsaw, Masovian Voivodeship, Poland
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Summary
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Senior
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Top School
Szymon Klarman is a senior research and engineering leader specializing in knowledge engineering and enterprise knowledge graphs, currently shaping SPOT Enterprise Knowledge Graph strategy at S&P Global. With a PhD in Computer Science and over 15 years in R&D, he blends formal logic, semantics, and probabilistic methods to deliver production-grade ontologies, taxonomies, and metadata architectures. He has built and led teams across industry and international projects—from DARPA-backed biomedical knowledge assembly to the UN’s linked open SDG taxonomy—and champions composite AI that combines symbolic and statistical approaches. Technically fluent across RDF/OWL, SPARQL, GraphQL, major graph stores and NLP toolkits, he is equally comfortable designing conceptual models and driving implementation roadmaps. A less obvious strength is his track record of translating academic-grade formalisms into pragmatic products and open-source tools (e.g., HyperGraphQL) that bridge linked data with mainstream developer ecosystems.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Vrije Universiteit Amsterdam (VU Amsterdam)
Master of Arts (MA) Philosophy, Master of Arts (MA) Philosophy at University of Lodz
Master of Science (MS) Logic, Master of Science (MS) Logic at University of Amsterdam
GraphQL interface for querying and serving linked data on the Web.
Contributions:3 releases, 19 PRs, 205 pushes in 1 year 3 months
hypermediaservinglinked-dataqueryingtriplestore
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Szymon Klarman - Senior Director, Knowledge Engineering, Enterprise Data Organization