Yehoshua Stern‬‎

Yehoshua Stern‬‎

Computer Vision Researcher @ Botika

About Yehoshua Stern‬‎

Yehoshua Stern is a Computer Vision Researcher with a Master's degree in Computer Science from Bar-Ilan University and a Bachelor's degree from the Jerusalem College of Technology. He specializes in Machine Learning, Deep Learning, and statistics, and has experience in developing face recognition projects and conducting research on animal behavior.

Work at Botika

Yehoshua Stern has been employed at Botika as a Computer Vision Researcher since 2021. In this role, he engages in projects that utilize his expertise in computer vision, focusing on innovative solutions to complex challenges. His work involves applying theoretical knowledge to practical applications, contributing to the advancement of technology within the organization.

Education and Expertise

Yehoshua Stern studied at the Jerusalem College of Technology from 2011 to 2014, where he achieved a score of 95.96. He completed a thesis on weakly-supervised clustering of natural animal behavior. He furthered his education at Bar-Ilan University, obtaining a Master's degree in Computer Science from 2019 to 2021. His academic background includes specializations in Machine Learning, Deep Learning, Statistics, Natural Language Processing (NLP), and Mathematics.

Background

Yehoshua Stern has a strong foundation in computer science and research, with a focus on computer vision. His educational journey includes significant achievements in both undergraduate and graduate studies, where he developed a comprehensive understanding of various technical disciplines. His background equips him with the skills necessary to tackle complex problems in the field of technology.

Achievements

Yehoshua Stern has experience in developing a face recognition project from inception to completion. This project showcases his ability to apply his knowledge in machine learning and computer vision to create functional and effective solutions. His work reflects a commitment to leveraging both theoretical insights and practical applications in his research endeavors.

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