Description

Looking to leverage Machine Learning or Computer Vision in a real-world project? I help you design, build, and deploy robust AI solutions tailored to your business needs.

With a PhD specialization in Machine Learning, Deep Learning, and image analysis, I work on use cases such as object detection, image classification, segmentation, video analysis, and complex data processing.

What sets me apart: a strong combination of research-level expertise and practical delivery. I don’t just build accurate models — I create solutions that are reliable, scalable, and ready for production, with a focus on data quality, performance, and seamless integration into your existing systems.

I typically work on:

Custom model development (Computer Vision, Deep Learning)
Proof of Concept (PoC) and rapid prototyping
Model optimization and performance improvement
Deployment (APIs, cloud, edge devices)
Data analysis and pipeline design

I’ve collaborated on international and interdisciplinary projects (including medical and scientific domains), and I’m comfortable working in fast-paced, collaborative environments.

Goal: turn your data into actionable, high-impact solutions.

Langues

Standard Moroccan Tamazight
Bilingue ou natif
Anglais
Capacité professionnelle limitée
Français
Capacité professionnelle complète
Arabe
Capacité professionnelle complète

Préférences en matière de lieu de travail

Accepte de travailler sur site

Rennes (jusqu’à 50 km)

CNRS
Machine Learning Engineer – Computer Vision & Deep Learning
CENTRES DE RECHERCHE
novembre 2019 - janvier 2024 (4 ans et 2 mois)
Rennes, France
Development of advanced models (CNNs, GANs, YOLO, RetinaNet) for classification and object detection in microscopic images, using semi-supervised and few-shot learning approaches.