Carlos Badenes-Olmedo is an Associate Professor and Post-Doc researcher in Artificial Intelligence at Universidad Politécnica de Madrid, combining over a decade of academic research in NLP, knowledge representation and semantic web with eight-plus years of prior hands-on experience as a J2EE software engineer. He designs and evaluates sophisticated labelling and topic-model approaches for multilingual, large-scale document retrieval and has contributed applied annotation tooling used by Spanish national science and research agencies. Comfortable moving between research and production, he has built scalable pipelines using Spark, Docker, graph and NoSQL databases and led architecture for real-time M2M systems in Java/Spring ecosystems. Active in EU and national R&D projects, he also co-founded librAIry_eu, reflecting a practical focus on turning research prototypes into services. Less obvious: he blends deep theoretical work (PhD with honors in AI) with pragmatism from fielding high-availability telemetry and integration platforms.
12 years of coding experience
15 years of employment as a software developer
Doctor's degree, Artificial Intelligence, Sobresaliente CUM LAUDE, Doctor's degree, Artificial Intelligence, Sobresaliente CUM LAUDE at Universidad Politecnica de Madrid
Master's degree, Artificial Intelligence, 9.4, Master's degree, Artificial Intelligence, 9.4 at Universidad Politécnica de Madrid
Contributions:37 pushes, 1 branch, 2 issues in 7 years 8 months
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Carlos Badenes-olmedo - Profesor at Ontology Engineering Group (UPM)