Timea Bagosi is a Senior AI Engineer with 14 years of experience blending R&D in NLP, LLMs, generative AI and knowledge engineering with strong software development practice. She has led full project lifecycles from conception to testing across international research and industry teams, most recently as a freelance AI engineer after five years as a senior research scientist at CRIM. Her background uniquely combines ontology-based data access and semantic technologies (SPARQL, R2RML, OWL) with practical LLM and RAG solutions, informed by contributions to the Ontop platform improving query processing and data handling. Timea’s work spans academic robotics research—human-robot teaming and multi-agent inference during her PhD candidacy at TU Delft—to applied drone R&D and commercial AI deployments. She is comfortable translating formal knowledge representations into production-ready systems and has presented her findings at conferences and in publications. Based in Romania, she brings multidisciplinary rigor and an uncommon pairing of symbolic AI expertise with contemporary generative-model engineering.
14 years of coding experience
8 years of employment as a software developer
Master's degree, Computational Logic, Master's degree, Computational Logic at Technical University Dresden, Free University of Bolzano
Master in Computer Science, Computational Logic, 108/110, Master in Computer Science, Computational Logic, 108/110 at Free University of Bolzano-Bozen
Bachelor, Computer Science, Bachelor, Computer Science at Technical University of Cluj Napoca
Doctor of Philosophy - PhD, Artificial Intelligence, unfinished, Doctor of Philosophy - PhD, Artificial Intelligence, unfinished at Delft University of Technology
German, Italian, Hungarian, Romanian, English, French
Ontop is a platform to query relational databases as Virtual RDF Knowledge Graphs using SPARQL
Role in this project:
Back-end Developer
Contributions:255 commits in 2 years
Contributions summary:Timea appears to be focused on enhancing the functionality and features of the OnTop platform, with a core contribution to the "SesameWrapper" package. The commit messages reveal active work in the areas of query processing, and data handling, including adding functionality such as handling of joins. The user is also actively involved in resolving bugs, and extending existing features and integrations, as well as testing.
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