Elior Ben Yosef
About Elior Ben Yosef
Elior Ben Yosef is a Machine Learning Backend Engineer currently working at Botika in Tel Aviv, Israel. He has a diverse background in molecular genetics, software development, and research, having worked at various prestigious institutions and companies throughout his career.
Work at Botika
Elior Ben Yosef has been employed at Botika as an ML Backend Engineer since 2021. His role involves developing and implementing machine learning models to enhance the company's backend systems. Elior's expertise in machine learning and deep learning contributes to the advancement of Botika's technological capabilities.
Education and Expertise
Elior Ben Yosef studied at the Weizmann Institute of Science, where he focused on Molecular Genetics and was recognized as a Young Weizmann Scholar in 2015. He also holds a Bachelor of Science degree from Tel Aviv University, where he participated in the Honors Research program for Outstanding Students. His educational background provides a strong foundation for his work in machine learning and biotechnology.
Background in Research
Elior has significant research experience, having worked in various esteemed institutions. He was part of Eliora Ron's research group at Tel Aviv University for three months in 2016, focusing on Molecular Microbiology and Biotechnology. Additionally, he contributed to Jacob Hanna's research group at the Weizmann Institute of Science for two months in 2015, specializing in Molecular Genetics and Pluripotent Stem-Cell research.
Professional Experience
Elior's professional journey includes diverse roles in technology and healthcare. He served as a Professional Social Integrator at Tel Aviv Municipality from 2012 to 2013. He transitioned to the tech industry as an Android App Developer at Happy Hour TLV and later as Lead Android App Developer at Hippotec Ltd. His experience also includes winning the RAFAEL Machine Learning Challenge in 2019, where he developed a decision-making algorithm.
Technical Skills and Contributions
Elior possesses strong proficiency in Python and is skilled in using machine learning libraries such as sklearn, Keras, TensorFlow, and PyTorch. He actively shares his work on GitHub, showcasing his projects in machine learning and deep learning. His ability to develop complex algorithms and models reflects his technical expertise and commitment to the field.