Marwa Kechaou
About Marwa Kechaou
Marwa Kechaou is a Machine Learning Research Engineer with a background in deep learning and computer vision. She has worked at various institutions, including CNES, Luxscan Weinig Group, and currently at Trax Retail and LITIS, focusing on AI applications and research in optimal transport and domain adaptation.
Work at Trax Retail
Marwa Kechaou currently holds the position of Machine Learning Research Engineer at Trax Retail. She has been with the company since 2023. In this role, she focuses on developing and implementing machine learning algorithms to enhance retail analytics and improve operational efficiency. Her expertise in deep learning and computer vision is instrumental in driving innovation within the organization.
Education and Expertise
Marwa Kechaou has a strong educational background in theoretical physics, mathematics, and machine learning. She earned a Bachelor's degree from Pioneer High School of Sfax, followed by an Engineer's Degree in Electronics & Signal Processing from ENSEEIHT. She completed her PhD in Machine Learning at the Institut national des Sciences appliquées de Rouen from 2018 to 2022. Her research areas include Optimal Transport, Domain Adaptation, and Adversarial Learning.
Previous Experience
Prior to her current role at Trax Retail, Marwa Kechaou worked in various positions that contributed to her expertise in machine learning and AI. She served as a PhD Candidate at Luxscan Weinig Group from 2018 to 2022, focusing on deep learning and computer vision. Additionally, she worked as a Machine Learning Instructor at Université virtuelle du Sénégal in 2020 and completed internships at Telnet and THIMONNIER, gaining practical experience in software engineering and machine learning.
Research and Development Contributions
Marwa Kechaou has been involved in significant research and development projects throughout her career. Notably, she worked on an image compression project using deep learning at CNES in 2018. She actively participates in AI international events, including Kaggle days and data science meetups, which showcase her commitment to staying updated with advancements in the field and contributing to the broader AI community.
Technical Skills and Tools
In her current role, Marwa Kechaou utilizes a variety of technologies and tools essential for machine learning applications. She is proficient in Python, Pytorch, and Swift, and employs Google Cloud Platform (GCP) for cloud computing tasks. Her work also involves deep learning techniques, computer vision, and optical character recognition (OCR), reflecting her comprehensive skill set in the field of artificial intelligence.