Freelancer profile translated to English.

Description

🚀 AI & Lead Deep Learning Expert | From R&D to Industrial Production

You are looking to transform complex data into concrete, high-performing solutions?

With solid experience as an AI Team Leader and currently pursuing a PhD in Artificial Intelligence (final thesis expected in September 2026), I assist companies in designing and deploying cutting-edge algorithms.

My expertise lies at the intersection of academic research and industrial reality, with a strong specialization in Computer Vision and Deep Learning.

🛠 What I bring to your projects:

Advanced Computer Vision: Mastery of state-of-the-art architectures (YOLOv8, YOLOv11) for object detection, semantic segmentation, and 3D perception.

Technical & Strategic Leadership: Complete management of the AI project lifecycle, from scope definition to GPU resource optimization and production deployment.

Industry 4.0 & IoT Expertise: Development of real-time solutions for industrial production and hardware-firmware integration.

GenAI Support: Expertise in generative AI tools to automate your workflows and train your teams on new technologies.

📈 Why choose me?

Scientific Rigor: A state-of-the-art (SOTA) approach to ensure accurate models (over 95% accuracy on industrial use cases).

Agility & Results: Ability to coordinate multidisciplinary teams and deliver high-impact business applications on time.

Pedagogy: Experienced trainer, I know how to simplify complex concepts to facilitate AI adoption within your organization.

Ready to take on your most ambitious AI challenges. Let's discuss your project!

Industry field of expertise

Languages

Arabic
Native or bilingual
French
Fluent
English
Fluent

Workplace preferences

Can work on-site

Tunis (up to 50km)

RAILERGY
TEAM LEADER ARTIFICIAL INTELLIGENCE PROJECT
RAW MATERIALS INDUSTRY
March 2022 - February 2024 (1 year and 11 months)
Augsbourg, Germany
1. AI Project Team Leader @ Railergy (March 2022 - February 2024)
Responsibilities: Leading complex AI projects from R&D phase to industrial production.
Achievements: Development of cutting-edge algorithms for object detection, semantic segmentation, and 3D perception.
Technical Expertise: Optimization of training processes through intensive use of GPU resources and hardware-firmware integration.
Management: Supervision of junior researchers and close collaboration with Product Managers to align AI solutions with business objectives.
Sfax Industry 4.0 - Digital Research Center of Sfax
R&D Researcher – Application Development
February 2021 - January 2022 (11 months)
Tunisia
Perform a Bibliographic Research of current applications in the Textile industry (4.0). Develop AI solutions for manufacturing in real time with python, C++, QT, Tkinter. Object and defect detection and classification in production textile line, predict ML models. Design and conduct cutting-edge research on advanced topics in AI, such as machine learning, deep learning, natural language processing, etc. Strong software engineering experience (Python, Docker, Linux). Strong experience using a machine learning framework (PyTorch, TensorFlow). Ensure the feasibility study of migration to industry 4.0. Application of AI to migrate to Industry 4.0. Mentor master's and PhD students, guiding them in their research projects and helping them develop their skills. Perform documented tests in real time at the production line. Hardware Design and Development: Design complex electronic circuits, systems, and prototypes. Work with microcontrollers, processors, sensors, FPGA, and other integrated circuits (ICs). Develop schematics, layout designs, and PCB (Printed Circuit Board) designs.
Vision par Ordinateur pour le Contrôle Qualité Intelligence Artificielle Industrielle (Edge AI) Développement Logiciel Robuste Mentorat et Transmission de Savoir Conception de Systèmes Matériels (Hardware)
ESPRIMS - Private Higher School of Engineers of Monastir
DATA SCIENCE/MACHINE LEARNING/DEEP LEARNING
October 2020 - January 2021 (3 months)
Monastir, Tunisia
Organize, develop and animate training sessions in Data sciences. Create the training modules and educational tools required for the training. Prepare training tests. Supervise students and monitor the progress of projects as part of Data Science training.