Karol Pustelnik

Karol Pustelnik is a proficient Deep Learning Engineer currently working at Cledar since March 2024, focusing on advanced machine learning applications. Previous experience includes roles as a Deep Learning Researcher at New Security Systems, where efforts were directed toward developing deep learning models for anomaly detection and gait recognition. Karol contributed as a Machine Learning Researcher at the Center for Molecular Medicine Cologne, engaging in projects involving image classification for cancer prediction and generative models for dataset creation. Additional roles include a Student Researcher at IDEAS NCBR, focusing on conditional computation models, and at Sano Centre for Computational Medicine, where Karol led the development of a fetal biometry model. Earlier experiences include a Teaching Assistant position at Uczelnia Łazarskiego w Warszawie and an internship at BioStat sp. z o.o., focusing on statistical reporting and data analysis. Karol holds a Master’s degree in Machine Learning from the University of Warsaw and a Bachelor’s degree in Mathematics and Statistics from Wrocław University of Science and Technology.