Azhar Nwayyir
About Azhar Nwayyir
Azhar Nwayyir is a Machine Learning Engineer at Axis Communications, specializing in deep learning algorithms for computer vision and surveillance systems. He holds a Master's degree in Embedded and Intelligent Systems from Halmstad University and a Bachelor's degree in Electrical Engineering from Basra University.
Work at Axis Communications
Azhar Nwayyir has been employed at Axis Communications as a Machine Learning Engineer since 2019. In this role, he focuses on the research and design of deep learning algorithms specifically tailored for computer vision and surveillance systems. His work involves addressing both novel and traditionally challenging problems through the application of artificial intelligence systems. Nwayyir combines foundational machine learning concepts with modern software development practices, contributing to the advancement of AI technologies within the organization.
Education and Expertise
Azhar Nwayyir holds a Master's degree in Embedded and Intelligent Systems from Halmstad University, where he studied from 2017 to 2019. Prior to this, he earned a Bachelor's degree in Electrical Engineering from Basra University, completing his studies there from 2012 to 2016. His educational background provides a strong foundation in both theoretical and practical aspects of machine learning and engineering, which he applies in his current role.
Previous Experience at Sabre Corporation
Before joining Axis Communications, Azhar Nwayyir worked as a Software Engineer at Sabre Corporation for one year, from 2016 to 2017. In this position, he gained valuable experience in software development, which complements his expertise in machine learning and AI. His time at Sabre Corporation contributed to his professional growth and prepared him for his current responsibilities.
Specialization in Machine Learning
Azhar Nwayyir specializes in the research and design of deep learning algorithms, particularly in the context of computer vision and surveillance systems. His focus on solving complex problems through AI systems reflects his commitment to advancing technology in these fields. Nwayyir's work integrates core machine learning principles with software engineering, enhancing the effectiveness of AI applications.