Description

Senior Machine Learning Engineer / Data Scientist with 4+ years of experience delivering production-grade ML and GenAI systems for large organizations (hospitality, media, large-scale data platforms).

I help companies move from POC to scalable AI products by designing end-to-end machine learning pipelines — from data ingestion and feature engineering to model deployment, monitoring, and continuous improvement in production.

My expertise includes:

• End-to-end ML pipelines (Python, SQL, PySpark)

• GenAI & RAG systems (LLMs, embeddings, retrieval, vector databases, evaluation)

• Production ML & MLOps (Docker, CI/CD, Airflow, MLflow, monitoring)

• Deep Learning (CNNs, Transformers, NLP, speech & audio pipelines)

• Cloud & Data platforms (AWS, Snowflake)

Recent projects:

• Production deployment of a customer churn prediction model for retention use cases in hospitality.

• Design and industrialization of RAG/LLM systems for internal knowledge platforms.

• Large-scale speech-to-text pipelines and retrieval systems over audiovisual archives.

I’m comfortable working with product, data, and business teams to turn complex problems into scalable, measurable AI solutions.

🎯 Available for: ML/AI engineering missions, GenAI/RAG projects, MLOps & productionization of models, end-to-end AI product delivery.

Languages

French
Native or bilingual
English
Fluent
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Accor
Senior ML Engineer / Data Scientist (Consultant)
HOSPITALITY
July 2025 - Today (11 months)
Issy-les-Moulineaux, France
Contributing to an internal GenAI platform (knowledge base management, access control, evaluation frameworks).
Leading GenAI & RAG projects in production (LLMs, embeddings, retrieval, answer quality evaluation).
Designed and deployed a customer churn prediction model in production for hospitality retention use cases.
Built end-to-end ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
Implemented model performance monitoring (data drift, seasonality effects) and continuous improvement loops.
Working closely with product, data, and business teams to turn ML outputs into actionable decisions.
Churn prediction GenAI Retrieval-Augmented Generation (RAG) Model Deployment Agent IA
LittleBigCode
Data Scientist Consultant
CONSULTING AND AUDITS
June 2023 - Today (3 years)
Paris, France
Designing and deploying production-grade ML and GenAI systems from data ingestion to monitoring.
Building RAG & LLM systems: embeddings, retrieval strategies, evaluation pipelines, and knowledge access governance.
Applied R&D on large-scale audio & speech data (STT pipelines with Whisper, detailed error analysis on noisy and heterogeneous audio).
Designing evaluation frameworks for embeddings, retrieval systems, and LLM-based applications in production.
Collaborating with product, data, and business teams to align AI systems with real-world use cases.
Documenting and presenting results to both technical and non-technical stakeholders.
GenAI Retrieval-Augmented Generation (RAG) Speech-to-text LLM NLP
Atos
Consultant Data Scientist
CONSULTING AND AUDITS
September 2021 - June 2023 (1 year and 9 months)
Bezons, France
Developed deep learning models for audio and video content analysis in production environments.
Worked on speech processing, audio event detection, and multi-label content classification.
Fine-tuned NLP and speech models for automatic content summarization and metadata enrichment.
Contributed to the transition from research prototypes to industrialized ML systems with engineering teams.
Prototyped ML/NLP models and contributed to data processing pipelines.
Participated in applied research projects across vision, audio, and NLP tasks.
NLP Deep Learning LLM MLOps intelligence artificielle