Krzysztof Piwoński
About Krzysztof Piwoński
Krzysztof Piwoński is a Machine Learning Engineer currently employed at Kalepa in Warsaw, Poland. He has a diverse background in data science, programming, and education, with experience in biomedical research and air traffic management projects.
Work at Kalepa
Krzysztof Piwoński has been employed as a Machine Learning Engineer at Kalepa since 2024. In this role, he focuses on developing and implementing machine learning models aimed at enhancing predictive analytics capabilities. His contributions are integral to the company's efforts in leveraging data science for improved decision-making processes.
Education and Expertise
Krzysztof Piwoński studied at the University of Warsaw, where he earned a Bachelor's Degree in Management Information Systems and a Master's Degree in Physics. His educational background provides a strong foundation in both technical and analytical skills, which he applies in his professional roles, particularly in machine learning and data science.
Background in Data Science
Prior to his current position, Piwoński worked at ICM University of Warsaw for six years as a Data Scientist, contributing to projects such as the Single European Sky ATM Research. His experience includes integrating data science techniques with biomedical research and developing R programming workshops for students and researchers.
Experience in Software Development
Krzysztof Piwoński has a diverse background in software development, having worked as a Frontend and Backend Developer at various organizations. His roles included developing applications using Django and R, as well as tutoring R programming at ICM University of Warsaw. This experience has equipped him with a comprehensive skill set in both frontend and backend technologies.
Interdisciplinary Project Involvement
Throughout his career, Piwoński has participated in interdisciplinary projects at ICM University of Warsaw. These projects often involved applying data science methodologies to solve complex problems in fields such as biomedical research and air traffic management, showcasing his ability to work across disciplines.