Krystian Koziatek
About Krystian Koziatek
Krystian Koziatek is a Machine Learning Researcher at RTB House, where he addresses engineering challenges in large-scale systems and develops global recommendation systems. He previously worked as a Junior Software Engineer at Samsung Electronics Polska and holds advanced degrees in Mathematics from Uniwersytet Warszawski.
Work at RTB House
Krystian Koziatek has been employed at RTB House as a Machine Learning Researcher since 2019. In this role, he addresses engineering challenges related to large-scale systems. His responsibilities include the development and maintenance of recommendation systems that function on a global scale, contributing to the company's capabilities in personalized marketing solutions.
Previous Experience at Samsung Electronics Polska
Before joining RTB House, Krystian Koziatek worked at Samsung Electronics Polska as a Junior Software Engineer from 2017 to 2018. This position, held in Warszawa, woj. mazowieckie, Polska, provided him with foundational experience in software engineering, which has contributed to his expertise in machine learning and system development.
Education and Expertise
Krystian Koziatek studied at Uniwersytet Warszawski, where he earned a Licencjat (Lic.) in Mathematics from 2014 to 2017. He continued his education at the same university, specializing in Machine Learning, and achieved a Magister (Mgr) degree from 2018 to 2020. His academic background has equipped him with a strong foundation in mathematical concepts and machine learning techniques.
Research and Development Achievements
During his research career, Krystian Koziatek developed a novel skin cancer classification technique that was recognized as the best algorithm in the ISIC Challenge at the time of submission. This achievement highlights his contributions to the field of machine learning and his ability to create impactful solutions in healthcare.