Ben Laor
About Ben Laor
Ben Laor is a Deep Learning Engineering Team Leader at Trax Retail, where he has worked since 2018. He has extensive experience in software development, cloud applications, and software architecture, with a background that includes roles at Social Studios TV and Workers On Call.
Work at Trax
Ben Laor has been serving as the Deep Learning Engineering Team Leader at Trax Retail since 2018. In this role, he oversees the development of deep learning solutions aimed at enhancing retail analytics. Prior to this position, he worked as an Algorithm Engineer at Trax from 2016 to 2018, where he contributed to the design and implementation of algorithms for retail applications. His tenure at Trax has allowed him to leverage his expertise in software architecture and cloud applications.
Previous Experience
Before joining Trax, Ben Laor held several positions that contributed to his professional growth. He worked as a Backend Software Engineer at Social Studios TV from 2014 to 2016, focusing on developing in-house solutions for cloud applications. Earlier, he was a Software Developer at Workers On Call for four months in 2013 and spent eight months at Commerce Sciences as QA and Tech Support. Additionally, he worked as a Translator at go active from 2006 to 2012, gaining diverse experience across various fields.
Education and Expertise
Ben Laor studied at Ben Gurion University, where he earned a Bachelor of Science in Computer Science from 2012 to 2014. His educational background has equipped him with a solid foundation in software development and engineering principles. He possesses extensive expertise in planning complex software architecture and integrating third-party solutions. His technical skills include proficiency in Docker, AWS, and MongoDB, among other technologies.
Technical Skills
Ben Laor is skilled in a variety of technologies that are essential for modern software development. His expertise includes cloud application development, deep learning, and algorithm design. He has experience with Docker for containerization, AWS for cloud services, and MongoDB for database management. Ben also has a strong interest in experimenting with new technologies, focusing on their potential benefits in the software engineering field.