Houssem Ben Youssef
Machine Learning Engineer
Salaire / Taux journalier
El Mourouj, Tunisie
Freelance, ouvert au CDI
Expertises
Langues
À propos
Introduction
Machine Learning Engineer with 2+ years specializing in computer vision and AI-powered defect detection systems. Proven expertise in object detection using YOLO models, achieving 90% accuracy in medical imaging projects, and implementing forecasting pipelines for manufacturing optimization. Ready to deliver cutting-edge ML solutions for your industrial and healthcare applications.
Expérience de travail
Machine Learning Engineer
Haering Precision USA LP
févr. 2025 - août 2025
7 mois
Soliman, Tunisie
AI-based Defect Recognition in Turned Parts for Industrial Quality Assurance : Developed an annotation pipeline for a subset of the dataset using image pre-processing techniques. Used Roboflow to annotate the dataset. Used ResNet-18 to classify the images. Trained both Yolov8 and Yolo11 on the dataset and used bayesian optimization to find the best hyperparameters.
AI & Data science
CMR Group
juil. 2024 - août 2024
2 mois
Tunis, Tunisie
Utilized statistical models (Prophet) to forecast product sales and guide the manufacturing strategy. Implemented a time series forecasting pipeline, including trend detection, seasonality adjustments, and holiday modeling using Prophet. Visualized Data with power BI.
National Engineering School of Carthage (ENICarthage)Freelance
avr. 2024 - juil. 2024
4 mois
Project Collaborator
mai 2024 - juil. 2024
3 mois
Utilized computer vision techniques to compute heart rate by capturing facial skin as the region of interest from video frames.
Project Creator
avr. 2024 - mai 2024
2 mois
• Designed a deep learning model (CNN) to detect brain tumors from 500+ MRI scans , achieving an 90% accuracy . • Applied advanced image preprocessing techniques to improve image quality before feeding the data into convolutional neural networks, enhancing detection accuracy.
C# Developer
Asteelflash
juil. 2023 - août 2023
2 mois
Soukra, Ariana, Tunisia
Developed a desktop application for managing the company's product inventory, including functionalities for creating, reading, updating, and deleting (CRUD) product records.
Formation
National Engineering School of Carthage (ENICarthage)
Engineer's degree
2022 - 2024
3 ans
Preparatory Institute for Engineering Studies-Nabeul
2020 - 2022
1 an 11 mois
Licences et certifications
ENGLISH C1
Délivré le : oct. 2024