Wail Harrouz

Wail Harrouz

AI / Computer Vision R&D Engineer @ Inria

About Wail Harrouz

Wail Harrouz is an AI and Computer Vision R&D Engineer at Inria in Grenoble, France, specializing in AutoML and Deep Learning pipelines. He holds two Master's degrees in image processing and computer science, and has experience in optimizing algorithms for computer vision applications.

Work at Inria

Wail Harrouz has been employed at Inria as an AI / Computer Vision R&D Engineer since 2021. His role is based in Grenoble, Auvergne-Rhône-Alpes, France, and he works in a hybrid environment. At Inria, he leads technical projects that focus on AutoML and the development of semi-automatic Deep Learning pipelines. His contributions are significant in advancing the field of computer vision through innovative research and development.

Education and Expertise

Wail Harrouz holds a Master's degree in image processing from Sorbonne Université, where he studied from 2020 to 2021. Prior to this, he completed another Master's degree in Computer Science at Université des Sciences et de la Technologie 'Houari Boumediène' from 2015 to 2020. His educational background equips him with a strong foundation in computer vision and image processing, allowing him to specialize in adapting and fine-tuning state-of-the-art algorithms for various tasks in the field.

Background

Before joining Inria, Wail Harrouz worked at SEGULA Technologies as a Computer Vision Engineer for seven months in 2021. This experience provided him with practical insights into the application of computer vision technologies in industry settings. His background combines both academic achievements and hands-on experience in the field of artificial intelligence and computer vision.

Technical Contributions

In his current role, Wail Harrouz contributes to optimizing system costs by compressing and embedding models onto small devices for practical implementation. His work focuses on making advanced computer vision technologies more accessible and efficient, which is crucial for deploying AI solutions in real-world applications.

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