welcome to my portfolio !

Here's a glimpse into my background, experience, and skills.

Hi, I'm Ons! 👋


I'm passionate about Machine Learning and Computer Vision. I have hands-on experience working in industrial labs and startups, where I’ve contributed to a variety of projects across different fields, including the Health and Sports industries. My journey in these fields has allowed me to develop a solid understanding of how technology can revolutionize industries and improve everyday life.


🎓 Education

Higher School of Communications of Tunis

  • Degree: National Engineering Degree in Telecommunications (Equivalent to a Master's degree in Engineering)
  • Rank: 26/139
  • Specialization: Computer Vision & Data Analysis

Bilkent University

  • Exchange Student: Mobility Program
  • Courses: Computer Vision, Deep Learning, Data Analytics (All courses were taught in English)

Preparatory Institute for Engineering Studies of Tunis

  • Rank: 172/1200
  • Courses: Algebra, Analysis, Dynamic Modeling, Physics (All courses were taught in French)

💼 Professional Experience

Preditwins Lab, Lille, France

  • Role: Research & Development AI Engineer (02/2024 – 05/2025)
  • Designed and industrialized data pipelines and AI solutions for sports performance prediction and MRI segmentation, deployed on AWS and GCP using Docker/Kubernetes.
  • Managed a PostgreSQL database connected to athlete sensors and an API to extract and analyze fatigue and other physiological data, delivering insights via Power BI for coaches.

Polytech Lille – LGCgE Laboratory, Lille, France

  • Role: AI Research Intern (02/2023 – 10/2023)
  • Developed hybrid Swin Transformer/CNN models for knee MRI segmentation, improving the Dice score by 15%.
  • Created a 3D knee visualization for enhanced medical data interpretation.

Ernst & Young (EY), Tunis, Tunisia

  • Role: Data Science Intern (06/2022 – 08/2022)
  • Designed an analytical platform for cyber risk management, aligned with NIST CSF 2.0 and ISO 27001 standards.
  • Developed predictive models for vulnerability assessment and compliance reporting automation.

🛠 Skills

Technical Skills

  • Languages: Python, C/C++, R, Matlab, Java, React, SQL
  • Tools & Frameworks: TensorFlow, TensorRT, PyTorch, ONNX, Keras, Scikit-learn
  • ML Deployment: GCP, AWS
  • Version Control & CI/CD: Git, Kubernetes, Docker

Data Visualization & Databases

  • Visualization: Power BI, Tableau
  • Databases: PostgreSQL

📜 Certifications