Daniel Popek is a Machine Learning Engineer at NeuroSYS since August 2020, specializing in large language models and applying various machine learning and deep learning algorithms to NLP tasks such as question answering, information retrieval, and semantic segmentation. Daniel has experience in training computer vision models and developing production-level software using Python, as well as boosting search engines with deep learning techniques. Previously, Daniel worked at Capgemini from July 2017 to December 2019 as a software engineer and Java intern, focusing on web applications, microservices, and chatbots for the automotive sector. Daniel holds a Master's degree in Data Science and an Engineer's degree in Computer Science, both with top grades, from Wrocław University of Science and Technology.
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