Principal Solution Architect at Siemens Digital Industries Software
Stuttgart, Baden-Württemberg, Germany
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Irlan Grangel-Gonzalez is a Principal Solution Architect and knowledge graph specialist with over 17 years of experience in semantic technologies, AI, and industrial data integration. He has led research-to-production initiatives at Bosch Corporate Research and now drives Knowledge Graph and AI strategy at Siemens Digital Industries (following Altair), building scalable solutions for smart manufacturing and Industry 4.0. Irlan bridges Semantic Web technologies, graph data science, and LLMs to solve hard problems like semantic interoperability, KG completion, and AI-ready enterprise data ecosystems. A proponent of FAIR data, Data Mesh, and semantic data products, he combines academic rigor from a PhD in Computer Science with hands-on delivery in commercial products like Graph Studio and AI Fabric. Outside of day-to-day delivery he contributes to the research and open-source communities and is known for integrating heterogeneous manufacturing data into production-grade ML and knowledge graph pipelines.
11 years of coding experience
15 years of employment as a software developer
Informatic Engineer Development and architecture of IT systems high level programming, Informatic Engineer Development and architecture of IT systems high level programming at University of Holguín
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Bonn
Business Informatic Master Degree Business Inteligence Artificial Intelligence Decision Making, Business Informatic Master Degree Business Inteligence Artificial Intelligence Decision Making at Universidad Central de las Villas
Repository containing the developing of the RAMI Ontology
Contributions:16 commits, 1 PR, 15 pushes in 1 year 5 months
developingowlsemantic-webrdfobofoundry
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Irlan Grangel-Gonzalez - Principal Solution Architect at Siemens Digital Industries Software