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@bachirabdou
AI Engineer with expertise in computer vision and machine learning.
I am a recent graduate specializing in Artificial Intelligence, with a strong focus on computer vision, machine learning, and deep learning. My experience includes developing and deploying models for real-world applications, such as object detection and segmentation models. I have successfully implemented YOLO and Faster R-CNN for car damage detection, achieving a 30% increase in inference speed through innovative model compression techniques.
During my internship at Arsela Technologie, I designed and developed an OCR model integrated with a React.js interface, ensuring high accuracy through extensive testing. My academic background includes a degree in AI from EPI Digital School, where I also worked on a deep learning model for Alzheimer's detection from MRI scans. I am passionate about leveraging AI to create impactful solutions in various industries.
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Work history, roles, and key accomplishments
EPI Digital School
Feb 2024 - Mar 2024 (1 month)
Developed object detection models using YOLO and Faster R-CNN for car damage detection, achieving 30% faster inference through model compression techniques. Presented results to stakeholders, emphasizing potential impacts on the insurance industry.
Arsela Technologie
Aug 2023 - Oct 2023 (2 months)
Designed and developed an OCR model integrated with a React.js interface. Conducted extensive testing to ensure high accuracy and collaborated on backend development using Node.js.
EPI Digital School
Dec 2022 - Feb 2023 (2 months)
Developed a deep learning model for Alzheimer's detection from MRI scans. Preprocessed medical images and applied CNNs for classification, while authoring detailed reports for future research.
Degrees, certifications, and relevant coursework
Engineer in Artificial Intelligence, Artificial Intelligence
2024 - 2024
Specialized in deep learning, computer vision, and AI integration.
Intern, Computer Vision
2023 - 2023
Designed and developed an OCR model integrated with a React.js interface. Conducted extensive testing to ensure high accuracy and collaborated on backend development using Node.js.
Engineer in Artificial Intelligence, Artificial Intelligence
2022 - 2023
Developed a deep learning model for Alzheimer's detection from MRI scans. Preprocessed medical images and applied CNNs for classification. Authored detailed reports and recommendations for future research.
AI Intern, Artificial Intelligence
2022 - 2023
Developed object detection models using YOLO and Faster R-CNN for car damage detection, achieving 30% faster inference through model compression techniques. Presented results to stakeholders, highlighting potential impacts on the insurance industry.
Software and tools used professionally
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