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.

Languages

Standard Moroccan Tamazight
Native or bilingual
English
Conversational
French
Fluent
Arabic
Fluent

Workplace preferences

Can work on-site

Rennes (up to 50km)

CNRS
Machine Learning Engineer – Computer Vision & Deep Learning
RESEARCH
November 2019 - January 2024 (4 years and 2 months)
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.