Freelancer profile translated to English.

Description

Doctorate in Applied Mathematics with over 13 years of experience in AI and Data Science, currently holding positions as Lead Data Scientist and Tech Lead AI. I specialize in Generative Artificial Intelligence, Retrieval-Augmented Generation (RAG), MLOps, and cloud environments (GCP, Azure, Databricks, Dataiku), with a strong track record in deploying large-scale AI solutions that improve processes and generate measurable business value. Experienced in Product Ownership and mentoring, I lead teams, define AI roadmaps, and regularly share my expertise as a trainer and speaker on GenAI, LLMs, and emerging data trends.

Industry field of expertise

Languages

English
Native or bilingual
Arabic
Native or bilingual
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

MGEN
Tech Lead AI
May 2025 - Today (1 year and 1 month)
Paris, France
Led the design and deployment of a RAG-based conversational assistant to improve SharePoint documentation access while ensuring security and compliance.
• • Built end-to-end pipeline for document processing (extraction, chunking, embeddings, vector storage with metadata).
• • Designed RAG solution on GCP using LangChain, Gemini (Vertex AI), PGVector, GKE, and a custom SharePoint connector.
• • Integrated SSO & Microsoft EntraID for secure, dynamic rights management.
• • Defined KPIs, optimized performance (latency, relevance, compliance).
• • Coordinated cross-functional teams and produced technical/functional documentation.
AXA France
Lead Data Scientist & Product Owner
July 2022 - May 2025 (2 years and 10 months)
92000 Nanterre, France
Drove AI roadmap and delivery of enterprise automation and knowledge management solutions.
• • Deployed Azure ML engine (OCR, NLP, DL, optimization) trained on 700k emails, automating 80% of routing.
• • Built OCR + NLP + Computer Vision (ViT) pipelines automating 70% of document indexing (~7k/day).
• • Delivered a RAG assistant (LangChain + GPT-4 + ElasticSearch) improving agent response times and reducing support workload.
• • Implemented data drift detection (Evidently + monitoring KPIs) to secure production models.
• • Managed a team of 2 DS + 2 MLEs, ran Scrum/Kanban rituals, and aligned stakeholders.
Nespresso
Lead Data Scientist & Trainer
September 2023 - January 2024 (4 months)
Spain
Supported AI adoption through team enablement and high-impact projects.
• • Trained and coached teams on NLP, Transformers, LLMs, Generative AI.
• • Developed Temporal Fusion Transformer for subscription forecasting.
• • Applied constrained time series models to dynamically adjust product assortments.
• • Built customer segmentation (Sentence-Transformer) to strengthen targeted marketing.
• • Applied BERT & GPT for sentiment analysis, extracting insights from customer feedback.