Freelancer profile translated to English.

Description

I hold a Master's degree in Signal, Image, and Machine Learning, specializing in data processing, advanced analysis, and the development of AI-based solutions.

I offer my skills to help companies leverage their data, optimize their processes, and transform information into strategic decisions.

Rigorous, autonomous, and results-oriented, I am committed to delivering professional-quality projects within deadlines, while maintaining clear and effective communication with my clients.

Key Skills:

Data Analysis, Machine Learning: data processing, predictive modeling, classification, regression

Deep Learning, AI: neural networks, supervised and unsupervised learning, computer vision

Signal and Image Processing: filtering, segmentation, feature extraction, anomaly detection

Technical Writing, Reporting: creating clear documentation, analysis reports, and presenting results

Tools and Technologies:

Python • Pandas • NumPy • Scikit-learn • TensorFlow / PyTorch • OpenCV • Matplotlib •

Matlab

C++

Availability

Available immediately, all week and on weekends.

Responsive, serious, and professional, I guarantee rigorous follow-up and deliverables that meet my clients' needs.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Toulouse (up to 50km)

Alten
AI Engineer Intern in Industry 4.0
March 2025 - September 2025 (6 months)
Toulouse, France
— Development of an intelligent energy optimization agent (RL) — Integration of predictive models into the agent's decisions. — Design and simulation of an Energy Management System (EMS). — Development of an interactive user interface. — Test environment with dynamic visualization (Streamlit), integration of industrial constraints. — Writing a scientific report structuring the approach. — Collaboration with multidisciplinary teams. Tools: Python, Stable-Baselines3, Gymnasium, Reinforcement Learning (RL), LSTM, Git, Optimization, Industry 4.0, Data Processing, Agile Methodology, Renewable Energy, Streamlit
Python Project Management Neural Networks Optimization Technical Writing
Irap
Internship in Spatial Image Processing for SMOS Satellite
June 2024 - August 2024 (2 months)
Toulouse, France
— Advanced reconstruction of brightness temperatures from interferometric data — Development and evaluation of an alternative method to improve the accuracy of land-sea contours and suppress spatial folding effects — Formulation of an inverse problem with regularization. — Optimization under constraints for more stable reconstruction. — Improvement of processing for interferometric aliasing effects. Tools: Matlab, LaTeX, optimization, image processing, inverse problem, regularization, constrained optimization
Matlab Image Processing Spatial Imaging Optimization Regularization