Georgios Bardas
About Georgios Bardas
Georgios Bardas is a Senior Computer Vision and AI Engineer at Netcompany-Intrasoft, where he has worked since 2023. He has a strong background in machine learning algorithms for object detection and extensive experience in signal processing and programming.
Work at Netcompany-Intrasoft
Georgios Bardas has been employed at Netcompany-Intrasoft as a Senior Computer Vision & AI Engineer since 2023. In this role, he focuses on developing machine learning algorithms and techniques specifically tailored for industrial environments, with an emphasis on object detection. His contributions aim to enhance the efficiency and effectiveness of AI applications in various industrial settings.
Previous Experience at Intralot
Before joining Netcompany-Intrasoft, Georgios Bardas worked at Intralot as a Software Engineer from 2020 to 2023. During his tenure in Athens, Greece, he contributed to software development projects, leveraging his skills in programming and system design to support the company's technological initiatives.
Research Scientist Role at Athens Information Technology
Georgios Bardas served as a Research Scientist at Athens Information Technology from 2015 to 2019. In this position, he worked on projects related to face tracking and object detection systems. His research focused on advancing the capabilities of computer vision technologies, contributing to the academic and practical understanding of these systems.
Educational Background in Computer Vision
Georgios Bardas pursued his education at the University of Thessaly, where he earned a Master's Degree in Computer Vision from 2007 to 2013. His studies included significant projects in face tracking and object detection systems, laying the foundation for his expertise in the field. He completed his secondary education at Nea Anchialos High School from 2004 to 2006.
Technical Skills and Expertise
Georgios Bardas possesses extensive expertise in signal processing, particularly in image and video processing, as well as compression techniques in hybrid architectures. He is proficient in programming languages such as C/C++ and Python, with experience in projects involving embedded devices. His technical skills support his work in developing advanced computer vision applications.