Firas Ben Thayer
Master Thesis @Volvo Trucks Sverige
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WORK HISTORY
Master Thesis @Volvo Trucks Sverige
Gothenburg, SE
Objective:• Implement a computer vision and machine learning solution to measure truck height.• Train object segmentation model for accuracy.• Develop server architecture for data collection.• Integrate system output into Volvo\'s IT systems.
EDUCATION
INSAT - Institut National des Sciences Appliquées et de Technologie
National Engineering Diploma, Industrial Maintenance and Instrumentation
El Wafa highschool
Baccalauréat, Mathematics
University West
Master's degree, Artificial intelligence (AI) and Automation
ABOUT FIRAS BEN THAYER
Welcome to my English profile. Pour voir mon profil en Français : cliquez sur l\'option « Voir ce profil en Français » en haut à droite. Email: f••••••••@student.hv.se GitHub: https://github.com/firas-ben-thayer - As a Masters student specializing in AI & Automation at Högskolan Väst, my journey in technology is marked by robust academic endeavors and practical engagements. At Mentorness, I deepened my proficiency in machine learning and data analysis, developing models to predict salaries and detect fraudulent transactions. Contributing to significant projects, such as automating resume filtering with NLP techniques, I have sharpened my skills in Python and Flask, solidifying my role as an AI Engineer. Our team\'s collaboration at Högskolan Väst was instrumental in deploying a Flask-based website and advancing AI research through multiple classification and regression models. With a commitment to excellence, I aim to continue innovating and applying my knowledge of data science and machine learning to create impactful solutions, while eagerly anticipating the completion of my master\'s studies.
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