Summary
Svitlana Vakulenko is an Assistant Professor (tenure track) at WU Vienna leading a research group on Knowledge Representation Learning for Large Language Models, combining academic rigour with applied ML research. With a PhD from TU Wien and over 11 years of experience across academia and industry, she has shaped conversational search and LLM evaluation methods during roles at University of Amsterdam and Amazon AGI. Her work spans topic modeling, NLP for social media and question rewriting to production-focused LLM workflows, and is supported by a WWTF VRG grant of over €1.5M. She brings a rare blend of deep research expertise and hands-on engineering—optimizing training and decoding algorithms to boost semantic diversity in generated text. Based in Vienna, she is also an active ML scientist working on conversational search and building bridges between knowledge representation and practical LLM evaluation.
12 years of coding experience
12 years of employment as a software developer
Vienna University of Technology
Bachelor, Informatics, Bachelor, Informatics at Kyiv National Economics University
Computer Science, Computer Science at Universität des Saarlandes
Master of Science (MS), Software Engineering, Master of Science (MS), Software Engineering at Tartu Ülikool
English, Russian, Ukrainian, German, Spanish