Freelancer profile translated to English.

Description

Lead Data Scientist PhD with over 14 years of experience in AI, including 6 years in fintech, 4 years in consulting, and 4 years in R&D, I support companies in the design, development, and deployment of advanced AI solutions. My expertise covers the entire data project lifecycle, from R&D to industrialization, with a strong focus on GenAI, Deep Learning, and Intelligent Document Processing technologies. I have designed and deployed several high-impact business systems in production: intelligent document understanding (OCR, layout, tables), computer vision, NLP, generative models (GANs), as well as modern architectures based on LLM, RAG, and VLM. I combine solid academic experience (PhD in machine learning, international publications) with a pragmatic, product-oriented approach, acquired in demanding environments (fintech, large groups like L'Oréal, BIC, Servier, Crédit Mutuel). Today, I am involved in: designing GenAI solutions (RAG, agents, LLMOps), applied AI R&D, deploying ML/DL models at scale, and mentoring and structuring data teams. 👉 My goal: to transform complex challenges into robust, scalable, and value-creating AI solutions.

Languages

French
Native or bilingual
English
Fluent
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Euro Information
Lead Data Scientist | DL engineer
BANKING AND INSURANCE
July 2020 - Today (5 years and 11 months)
Paris, France
At Euro Information, the fintech arm of the Crédit Mutuel group, I performed the following tasks:
- Design and development of a toolkit for extracting Layouts and Tables from PDFs and images. This service provides OCR enriched with other information necessary for the proper functioning of an LLM, for example to create a RAG system. Its results are comparable to IBM's Docling, or even better in some cases (detection of subtitles, sub-subtitles, better table detection thanks to a model trained from scratch).
- Mentoring and Tutoring of data scientists and developers.
- Supervision of Master 1 and Master 2 interns.
- Development and deployment of several Deep Learning multimodal models (Object Detection: detection of non-compliant checks, Intelligent Document Analysis - document layout parser, Image and Text Classification, Document Clustering, Document Segmentation, Character Recognition - OCR, Image Segmentation, etc.)
- Training, testing, qualification, load testing, and deployment of AI models as Web-services.
- R&D and technology watch on solutions related to OCR and generative AI.
- Piloting several GenAI, RAG, VLMs projects.
Deep Learning Mentoring Project Piloting Generative AI MLOps
Saegus
Consultant Data Scientist
CONSULTING AND AUDITS
April 2017 - April 2020 (3 years)
Paris, France
In addition to supervising a Master 2 intern on a Deep Learning topic, I successfully completed several missions for different clients, including: L'Oréal Paris, BIC, Servier.
- Development of a generative model (GAN) to add/remove a beard.
- May 2019–December 2019: Detection and matching of lighter references using deep learning and computer vision.
- April 2019–May 2019: NLP and Text-Mining for patent classification and target detection (pharmaceutical domain).
- July 2017–March 2019: Within the AI team of L'Oréal's R&D department, ongoing projects focus on designing deep learning models applied to computer vision, to solve problems of classification, regression, segmentation, and image generation (generative adversarial networks).
- April–June 2017: Optimization and industrialization of a revenue prediction model.
Deep Learning GAN NLP Forecast Image Processing
Université Paris 13
ATER (Assistant professor)
RESEARCH
September 2016 - June 2017 (10 months)
Paris, France
In parallel with research activities, I taught several subjects including: - Foundations of Business Intelligence and Big Data - Web Programming - Object-Oriented Design (UML) - GUI in Java-Swing - Databases, etc.
Higher Education Object-Oriented Programming (OOP)