Having studied multiple foreign languages from an early age, András has developed a passion for all things related to language and linguistics. It was, therefore, an obvious decision for him to study and work with Natural Language Processing, which he sees as the intersection of linguistics, one of his greatest passions, and artificial intelligence, which is perhaps the most exciting field of modern science. He is currently responsible for finding new NLP opportunities to enhance the data services provided by TAUS and conducting research on their possible applications. András is especially interested in using sentence embedding techniques to clean and classify text data across multiple languages in order to create reliable and high-quality datasets.