Greg Arutiunian
About Greg Arutiunian
Greg Arutiunian serves as the R&D Manager within the AI Fleet at Augury, having previously held various data engineering and architecture roles at companies such as GE Healthcare and Feedvisor. He has a background in Industrial Engineering and Management from the Technion - Israel Institute of Technology.
Current Role at Augury
Greg Arutiunian serves as the R&D Manager within the AI Fleet at Augury. He has held this position since 2022, contributing to the development and management of AI-driven solutions in Haifa, Israel. His role involves overseeing research and development initiatives that enhance the company's technological capabilities.
Previous Experience at Augury
Prior to his current role, Greg worked at Augury as the Data Engineering Manager from 2020 to 2022. During this time, he focused on data engineering projects that supported the company's operational goals. His tenure at Augury spanned two years, during which he played a key role in advancing data strategies.
Professional Background in Data Engineering
Greg has extensive experience in data engineering and architecture. He worked at GE Healthcare as a Big Data Architect from 2018 to 2020, where he was involved in managing large-scale data solutions in the Haifa Area. Additionally, he served as a Data Engineer at MidLink Computing from 2014 to 2016 and at G-STAT from 2012 to 2013, gaining valuable expertise in data management.
Educational Background
Greg studied at the Technion - Israel Institute of Technology, where he earned a degree in Industrial Engineering and Management with a focus on Enterprise Information Systems. His studies took place from 2007 to 2011, providing him with a solid foundation in information technology and systems management.
Career Progression
Greg's career includes various roles in data architecture and engineering. He worked as a Data Architect at Feedvisor from 2017 to 2018 and as a Software Engineer at the same company from 2016 to 2017. His diverse experiences have contributed to his expertise in the field of data engineering and management.