À propos de Antoine
I am an AI engineer focused on building practical machine learning and deep learning solutions for businesses.
I help companies automate workflows, process data more efficiently, and build intelligent applications using AI technologies such as computer vision, natural language processing, and large language models.
I have experience developing solutions for image analysis (object detection, segmentation), text processing (classification, information extraction), and AI-powered automation using Python, APIs, and modern machine learning frameworks.
My goal is to deliver reliable, production-ready AI systems that save time, reduce manual work, and improve decision-making.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Italien
Capacité professionnelle limitée
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- Private Pharmaceutical ClientAI-Based Object Detection Systemseptembre 2025 - Aujourd'hui (11 mois)Developing an ongoing computer vision system for detecting and classifying a large number of small objects (300–500 per image) with high accuracy, using deep learning architectures such as Faster R-CNN and YOLO.The system is currently being developed to support automation and improve visual inspection processes in a pharmaceutical context.Ongoing work includes model optimization, fine-tuning, and performance improvements, with current results reaching up to 97% accuracy on test datasets.
- DICAM - University of BolognaAI Research Engineerfévrier 2025 - mai 2026 (1 an et 3 mois)Bologna, ItalieDesigned custom statistical approaches for anomaly detection to identify leakages in water distribution systems, from data preprocessing to performance evaluation. This work resulted in a research paper currently under publication
- Laboratory i3S/CNRSResearch Internsseptembre 2023 - mai 2024 (8 mois)Nice, France- Developed MGNLP-Explorer, a visualization tool for NLP datasets, automating metadata collection via Python and APIs (HuggingFace, ArXiv, Google Scholar).- Developed an Unsupervised Learning Model using spiking neural networks (SNN) to identify discrete patterns in an unsupervised way.
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Formations
- Computer Science BachelorLe Mans University2023Computer Science Bachelor
- Master in Artificial IntelligenceCôte d'Azur University (SophiaTech)2025Master