Overview
Technical skills
Timeline
Roles

Overview

AI/ML engineer with internships and research work focused on deep learning for computer vision and time series. Built and deployed ML models including PyTorch-based solutions and medical imaging segmentation using U-Net. Completed a Master 2 in Intelligent Systems Engineering at Sorbonne University and developed forecasting and image watermarking projects.

Technical skills

C++
MATLAB
Python
SQL
Bash
C
C++
PyTorch C++
Python
FastAPI
Databases
MySQL
AI/ML
CUDA
CUDA Toolkit
Data Augmentation
Image Segmentation
NLP
OpenCV
Pandas
PyTorch Lightning
Ray
Scikit-learn
PyTorch
Time Series Forecasting
Computer Vision
DevOps
Git• 3y+
Analytics
Matplotlib

Timeline

Sorbonne University
Master's Degree Intelligent Systems Engineering (AI Track)
2024–2025 Paris, France
AI Engineer Intern Junior
IRT SystemX Internship
Jan 2025 to Present In office
Developed PyTorch models for gait mode detection using multi-source temporal sensor data. Enhanced model accuracy by focusing on signal filtering and feature engineering. Designed transition-sensitive metrics to reduce false positives and improve robotic orthosis safety.
PyTorch
National Polytechnic School
Bachelor's Degree Electronics
2019–2024 Algiers, Algeria
Medical AI Intern Junior
Research Center in Industrial Technologies Internship
Jan 2024 to Present In office
Implemented U-Net architectures for chest X-ray image segmentation. Improved accuracy through hyperparameter tuning and morphological processing. Deployed the final solution onto a PYNQ Z2 FPGA platform.
Computer Vision Researcher Middle
National Polytechnic School Full-Time
Jan 2024 to Present In office
Designed ResNet50 and attention-based models for video deepfake classification. Improved performance on unseen manipulations using standardized data augmentation approaches. Built an automated pipeline for facial alignment and real-time video inference.