Sergiy Shelekh
About Sergiy Shelekh
Sergiy Shelekh is a Machine Learning Engineer with a background in Computer Science and Electrical Engineering from National Chiao Tung University. He specializes in distributed machine learning and has experience in networks and multimedia, currently working at Liberty Global since 2022.
Work at Liberty Global
Sergiy Shelekh has been employed at Liberty Global since 2022, serving as a Machine Learning Engineer. His role involves applying machine learning techniques to solve complex problems within the organization. Located in Schiphol-Rijk, North Holland, Netherlands, he contributes to various projects that leverage data-driven insights to enhance operational efficiency and service delivery.
Education and Expertise
Sergiy Shelekh holds a Bachelor's degree in Computer Science and a Master's degree in Electrical Engineering and Computer Science, both from National Chiao Tung University. He completed his undergraduate studies from 2014 to 2018 and his graduate studies from 2018 to 2021. His academic background provides a solid foundation in both theoretical and practical aspects of computing.
Background
Before joining Liberty Global, Sergiy Shelekh worked as an Artificial Intelligence Consultant at Ubiik Inc. for a brief period in 2020. This role allowed him to gain practical experience in the field of artificial intelligence, specifically in Taiwan. His professional journey reflects a focus on machine learning and its applications in real-world scenarios.
Specialization in Distributed Machine Learning
Sergiy Shelekh specializes in distributed machine learning, which entails training models across multiple machines to efficiently manage large datasets. This area of expertise is crucial for developing scalable machine learning solutions that can process vast amounts of data, making him a valuable asset in technology-driven environments.
Technical Skills and Knowledge
Sergiy possesses advanced programming skills, which are essential for developing and optimizing machine learning algorithms. His expertise extends to networks and multimedia, showcasing a comprehensive understanding of data transmission and media processing technologies. This technical knowledge enhances his ability to implement effective machine learning solutions.