mohamedaziz cherif
Machine Learning Engineer | Deep Learning & Computer Vision
Salary / Daily rate
Sulayman, Tunisia
Freelance
Skills
Languages
About me
Intro
Machine Learning Engineer at InstaDeep with 2+ years specializing in computer vision and deep learning solutions. Achieved 95% mAP in object detection models and 92% accuracy in damage classification systems for supply chain automation. Expert in YOLO, ResNet, and ensemble models - delivering AI solutions that reduce costs and optimize business processes.
Work experience
InstaDeep
Feb 2024 - Present
2 years 9 months
Tunis, Tunisia
Machine Learning Engineer
Sep 2024 - Present
2 years 2 months
Tunis, Tunisia
AI Research Engineer Intern
Feb 2024 - Aug 2024
7 months
Tunis, Tunisia
● Played a key role in automating the supply chain process by implementing AI powered systems to enhance efficiency and reduce cost. ● Enhanced sorting and handling of packages by utilizing object detection models like YOLO, FasterRCNN, Detection Transformer to detect package signs, achieving over 95% mean Average Precision (mAP) with the best detector. ● Ensured Quality Control by developing a package damage classification system, implementing and fine-tuning classifiers like ResNet reaching an accuracy of 92%. ● Created a data preprocessing pipeline for the images used in both detection and classification tasks, enhancing data quality and improving model performance.
Data Science Intern
EFREI - Grande école du numérique
Jun 2023 - Aug 2023
3 months
69340 Francheville, France
● Reduced crop waste by optimizing harvest timing through an ensemble model that integrated SVM, Random Forest, and Logistic Regression, achieving 93% accuracy in predicting fruit ripeness. ● Decreased inference time by 60% using Principal Component Analysis on hyperspectral images of the crops. ● Provided insights into the overall chemical compositions of the crops through data analysis and visualization.
Computer Vision Engineer
IEEE Robotics and Automation Society
Sep 2022 - May 2023
9 months
Tunis, Tunisia
● Implemented a computer vision algorithm to simultaneously track and monitor more than 10 moving objects in real-time within a defined field using OpenCV. ● Executed code on a Raspberry Pi, integrating a camera module, to transmit learned object positions to another device via LoRa communication.
Flutter Developer
FIDNESS
Jul 2022 - Oct 2022
4 months
Sulayman, Tunisia
● Developed a Flutter application that allows the enterprise customers to pay for their services online. ● Utilized advanced security protocols to secure online transactions.
Education
INSAT - Institut National des Sciences Appliquées et de Technologie
Diplôme d'ingénieur
2019 - 2024
6 years
Pioneer Highschool Bourguiba Tunis
Bachelor's degree
2015 - 2019
4 years 4 months