Kajetan Prystasz

Kajetan Prystasz is a skilled Machine Learning Engineer with a diverse background in data science and engineering. Currently at ZYTLYN Technologies, Kajetan focuses on implementing time-series deep neural network models and leads the introduction of MLOps practices. Prior experience includes developing an event-driven deep learning platform at AI Investments Ltd., where Kajetan specialized in microservices architecture and neural networks for time series and NLP applications. At ING, Kajetan played a pivotal role in a global personalized marketing project and developed a recommender system that significantly boosted click-through rates. Kajetan holds a Master of Engineering in Computer Science with a specialization in Data Science from the Polish-Japanese Academy of Information Technology and a Bachelor’s degree in Logistics from Szkoła Główna Gospodarstwa Wiejskiego w Warszawie.