Dr. Damian Makieła, (PhD)
About Dr. Damian Makieła, (PhD)
Dr. Damian Makieła is a Machine Learning Engineer with a strong academic background in physics, mathematics, and chemistry. He has worked at Future Processing and the University of Silesia in Katowice, contributing to research and development in machine learning and theoretical physics.
Current Role as Machine Learning Engineer
Dr. Damian Makieła currently serves as a Machine Learning Engineer at Future Processing, a position he has held since 2024. His role involves applying machine learning techniques to solve complex problems and contribute to innovative projects. He works in Gliwice, Woj. Śląskie, Poland, where he utilizes his extensive background in theoretical physics and mathematics to enhance machine learning models.
Previous Experience at Future Processing
Before his current role, Dr. Makieła worked at Future Processing as a Junior Machine Learning Engineer from 2021 to 2023. During this two-year tenure, he gained practical experience in machine learning applications and contributed to various projects, further developing his skills in the field.
Research Background at University of Silesia
Dr. Makieła was a Researcher PhD Student at the University of Silesia in Katowice from 2014 to 2020. His research focused on advanced topics in physics and machine learning, contributing to his expertise in these areas. This six-year experience laid the foundation for his future work in machine learning.
Educational Qualifications
Dr. Makieła holds multiple degrees from the University of Silesia in Katowice. He earned a Bachelor's degree in General Chemistry and Mathematics, followed by Master of Science degrees in Theoretical Physics and General Chemistry. He completed his Doctor of Philosophy (PhD) in Physics, achieving high academic results, including a special grade of 6 (distinction) for his work.