Вячеслав Кучеренко
About Вячеслав Кучеренко
Вячеслав Кучеренко is a Machine Learning Engineer engaged in scientific research related to nuclear matter and the development of recommendation systems. He holds a Bachelor's degree in Applied Physics and Nanomaterials and a Master's degree in Theoretical and Mathematical Physics, and currently works at LITSLINK in Kyiv, Ukraine.
Work at LITSLINK
Вячеслав Кучеренко has been employed at LITSLINK as a Machine Learning Engineer since 2020. His role involves developing and implementing machine learning solutions, particularly in the area of recommendation systems. He has contributed to various projects that leverage machine learning techniques to enhance user experiences and optimize processes within the organization.
Education and Expertise
Вячеслав Kучеренко holds a Bachelor's degree in Applied Physics and Nanomaterials from the National Technical University of Ukraine 'Kyiv Polytechnic Institute', where he studied from 2017 to 2021. He furthered his education at Kyiv Academic University, obtaining a Master's degree in Theoretical and Mathematical Physics from 2021 to 2023. His expertise includes Optical Character Recognition (OCR), Matching Systems, and a range of machine learning tasks such as Natural Language Processing, Deep Learning, and Computer Vision.
Background
Вячеслав Kучеренко has a strong academic background in physics and engineering. His studies have focused on both applied and theoretical aspects of physics, providing him with a solid foundation for his work in machine learning. His research interests include scientific investigations related to nuclear matter, showcasing his engagement with complex scientific topics.
Machine Learning Projects
In his capacity as a Machine Learning Engineer, Вячеслав Kучеренко is involved in various projects that utilize machine learning methodologies. He works on developing recommendation systems and engages in tasks that encompass Natural Language Processing, Deep Learning, and Computer Vision. His contributions are aimed at advancing the capabilities of machine learning applications within his organization.