Naama Kadosh
About Naama Kadosh
Naama Kadosh is a Machine Learning Engineer at Vianai Systems, Inc., where she has worked since 2022. She holds a Bachelor's degree in Computer Science from Ben-Gurion University of the Negev and a Master's degree in Computer Science from Tel Aviv University.
Work at Vianai Systems, Inc.
Naama Kadosh has been employed at Vianai Systems, Inc. as a Machine Learning Engineer since 2022. In this role, she applies her expertise in machine learning to develop and implement innovative solutions. Her work contributes to the company's focus on leveraging artificial intelligence to enhance business processes.
Education and Expertise
Naama Kadosh holds a Bachelor's degree in Computer Science from Ben-Gurion University of the Negev, which she completed from 2015 to 2019. She furthered her education by obtaining a Master's degree in Computer Science from Tel Aviv University, studying there from 2019 to 2022. This academic background provides her with a solid foundation in computer science principles and machine learning techniques.
Previous Experience at Cadence Design Systems
Before joining Vianai Systems, Naama Kadosh worked at Cadence Design Systems as a Product Validation Engineer from 2017 to 2022. In this position, she was responsible for validating product functionalities and ensuring quality standards were met. Her experience in this role contributed to her technical skills and understanding of product development processes.
Previous Experience at ImageSat International
Naama Kadosh began her career at ImageSat International, where she worked as a Satellite Operator from 2014 to 2017. This role involved monitoring satellite operations and ensuring optimal performance. The experience gained during this time laid the groundwork for her future roles in technology and engineering.
Early Education at Aleh High School For Arts And Sciences
Naama Kadosh completed her early education at Aleh High School For Arts And Sciences, where she studied Computer Science from 2006 to 2010. This foundational education provided her with initial exposure to computer science concepts, shaping her interest in the field.