Abdelaziz Hamadi
Computer Vision & IA Engineer
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À propos
R&D engineer specialized in computer vision, image processing, and machine learning (MSc), with a demonstrated history of work on my github. Skilled in various programming language and fields such as Deep Learning, visual odometry, image classification & object recognition. Also, solid knowledge in 3D geometry and computer graphics.
Expérience
Pristine Robotics | Rennes, France
R&D Computer Vision Engineer & Consultant
- Proven expertise in translating the client’s specific needs into easy-to-use software.
- Provided consulting services and writing process documentation for delivery reports.
- Market studies to help determine service pricing based on market trends and demand.
- Implemented surface defect segmentation using DL for products’ surface inspection. Achieved 73% accuracy on dice score.
- Implemented unsupervised machine learning algorithms for products’ absence counting during production.
- Parallel computing and vectorization using CUDA and threading. Optimized real time performance by 40%.
- Hands-on experience in end-to-end data pipelines. From live video stream to a server-based monitoring system for visualizing time series data and triggering alerts if required.
- Developed a user-friendly interface to control different algorithm parameters and trigger real-time inspection on production sites.
R&D Computer Vision Engineer Intern
- Developed a recommendation for an inspection box that effectively adapts to the company’s production lines for product quality control.
- Conducted research on state-of-the-art object detection techniques in computer vision and develop a deep learning-based detector capable of identifying the company's baked goods.
- From data collection, to training and evaluating different Deep Learning models performances using different scientific metrics.
- Designed and implemented state-of-the-art computer vision solutions for products quality inspection, such as roundness, colour, and gliding of the products.
R&D Computer Vision Engineer Intern
- Conducted research on state-of-the-art on multi-object tracking algorithms.
- Retrained existing object detection models on hand crafted CCTV camera dataset using transfer learning for person class only.
- Bridging between object detector and DeepSORT algorithm for detection-based tracking.
- Achieved better performs in terms of multi-person tracking especially in extremely low light conditions.
Formation
Master 2 Signal and image processing: IMAGES, MODELS AND VISION | Sept/2022
Aix-Marseille University, Marseille, France
End of study project: " multi-person tracking and heat map establishment”. Grade: 15.17/20
Masters: Computer Science, Image & Artificial Life | Jul/2022
Mohamed Khider University, Biskra, Algeria
End of study project/internship: " multi-object tracking using Deep Learning in real-time”. Grade: 17.33/20
Bachelor of Science: Computer Information Systems | Jun/2019
Mohamed Khider University, Biskra, Algeria
End of study project: “E-learning Android application for programming languages”. Grade: 18/20
