Svetoslav Karaivanov
About Svetoslav Karaivanov
Svetoslav Karaivanov is a Senior Machine Learning Engineer at Hyperscience with a background in quantitative research and computer science.
Current Position at Hyperscience
Svetoslav Karaivanov currently holds the title of Senior Machine Learning Engineer at Hyperscience. He assumed this role in 2023. His work involves utilizing advanced machine learning techniques to solve real-world problems, optimizing AI workflows, and contributing to the development of intelligent automation technologies.
Previous Roles at Hyperscience
Before becoming a Senior Machine Learning Engineer, Svetoslav worked as a Machine Learning Engineer at Hyperscience starting in 2020. During this period, he was responsible for developing and implementing machine learning models, focusing on the automation and enhancement of data processing tasks.
Experience at WorldQuant
Svetoslav Karaivanov accumulated significant experience during his tenure at WorldQuant. He started as a Quantitative Researcher in 2017 in Sofia, Bulgaria, and later advanced to Senior Quantitative Researcher, a role he held from 2018 to 2020. He then took on the position of Senior Quantitative Researcher (PM Hosting) in Stamford, Connecticut for 6 months in 2019. His responsibilities included developing quantitative models, conducting financial data research, and supporting portfolio management.
Educational Background
Svetoslav Karaivanov earned a Master's degree in Computer Science from ETH Zürich, where he studied from 2014 to 2016. He also holds a Bachelor's degree in Computer Science from Sofia University St. Kliment Ohridski, completed between 2009 and 2013. His educational background has provided him with a strong foundation in computational theory, software development, and machine learning techniques.
Research Internship at ETH Zürich
Svetoslav completed a research internship at ETH Zürich in 2013, which lasted for 5 months. This experience allowed him to engage in advanced research projects, contributing to his proficiency in computer science and providing valuable hands-on experience in a leading academic environment.