Summary
Aleksandar Pavlović is a Senior Researcher and PhD-trained computer scientist based in Vienna with eight years of experience at the intersection of machine learning, knowledge graphs, and databases. He develops AI solutions—ranging from LLM-driven applications to explainable and energy-efficient models—for industrial manufacturing, linguistics, and healthcare, and has published top-tier work (e.g., an ICLR 2023 spotlight) on spatio-functional embeddings for knowledge graph completion. Comfortable both in research collaborations with institutions like Oxford and in teaching advanced courses (Advanced Deep Learning, Visual Analytics, Advanced Database Systems), he blends rigorous theory in optimization and description logics with hands-on systems experience across query answering and semantic web technologies. Trilingual and internationally networked, he pairs academic distinction with applied projects involving industry partners such as the Central Bank of Italy. An understated strength is his track record of bridging symbolic reasoning and sub-symbolic models to make knowledge-driven AI both practical and explainable.
8 years of coding experience
5 years of employment as a software developer
Vienna University of Technology
Mechatronics, Mechatronics at HTL Mödling