Tal Ben Haim
About Tal Ben Haim
Tal Ben Haim is an AI Researcher and Team Lead at D-ID, where he has worked since 2024. He has a background in computer vision and machine learning, with previous roles at Samsung Israel R&D Center and Ben-Gurion University of the Negev.
Work at D-ID
Tal Ben Haim has been employed at D-ID as an AI Researcher and Team Lead since 2024. In this role, he has contributed to the development of advanced computer vision algorithms. His work focuses on integrating machine learning models into practical applications, enhancing the company's capabilities in artificial intelligence. Prior to his current position, he served as a Computer Vision Researcher at D-ID from 2022 to 2024.
Previous Experience at Samsung Israel R&D Center
Before joining D-ID, Tal Ben Haim worked at Samsung Israel R&D Center (SIRC) as an Algorithm Engineer from 2020 to 2022. During his tenure, he was involved in the development of algorithms that support various technological advancements, contributing to the company's research and development efforts.
Academic Background
Tal Ben Haim studied at Ben-Gurion University of the Negev, where he earned a Master of Science (MS) in Electrical and Computer Engineering from 2019 to 2021. He also completed a Bachelor's degree in Electrical and Electronics Engineering at the same institution, studying from 2016 to 2020. His academic background provides a solid foundation for his expertise in machine learning and computer vision.
Teaching and Research Roles
Tal Ben Haim has held teaching and research positions at Ben-Gurion University of the Negev. He served as a Teaching Assistant from 2020 to 2021 and worked as a Researcher from 2019 to 2021. In these roles, he contributed to academic projects and supported students in their learning, bridging the gap between theoretical knowledge and practical application.
Expertise in Machine Learning
Tal Ben Haim possesses expertise in integrating machine learning models into real-world applications. His work in both academic and industry settings has equipped him with the skills necessary to apply advanced algorithms effectively, making significant contributions to the fields of computer vision and artificial intelligence.