Bilal Chehaibou
AI engineer - Data Scientist @Proximus | Freelance | PhD en Physique
Salaire / Taux journalier
Metz, France
Freelance
Peut venir sur site
Expertises
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À propos
Introduction
I’m Bilal Chehaibou, a data scientist and GenAI engineer with a PhD in theoretical physics (FR/EN). I design and build GenAI solutions — production-ready chatbots, backend services and knowledge-graph–powered systems — for complex industrial environments. At Proximus (freelance), I support the development of GenAI solutions. At Capgemini, I built a Neo4j knowledge graph for Sanofi linking bioproduction experiments, batches and results, enabling LLM-based search instead of manual report hunting. I’ve also delivered a rail network chatbot that brings operational data directly to employees, and contributed to an agentic AI hackathon where a multi-agent system automated complex engineering queries. Tech: Python, GenAI/LLMs, RAG, Neo4j, backend services, data engineering, statistical & scientific modeling.
Expérience de travail
AI enginner
Proximus LuxembourgFreelance
nov. 2025 - déc. 2025
2 mois
Luxembourg
Supporting the development of GenAI solutions
AI Engineer
Capgemini
sept. 2024 - déc. 2025
1 an 4 mois
> Sanofi Bioproduction Knowledge Graph (2024‑25) - Modelled experiments, batches and QC results in Neo4j, creating a single source of truth for scientists. - Fine‑tuned an LLM chatbot. > RATP Rail Chatbot PoC (Mar 2025) - Combined rail‑network graph data with LLM to incidents and maintenance history. > Agentic‑AI Hackathon (Apr 2025) - Built a Postgres‑backed knowledge graph and crewAI multi‑agent pipeline that decomposed and solved complex engineering questions end‑to‑end.
PHD Student in theoretical physic
STMicroelectronics France
mars 2020 - oct. 2023
3 ans 8 mois
38920 Crolles, France
> Published 5 peer‑reviewed papers on quantum modelling of nanocrystals (90+ citations). > Develop models used at industrial level.
Research Internship
Université de Lorraine
oct. 2018 - oct. 2019
1 an 1 mois
Région de Nancy, France
> Implemented Machine Learning models to replace costly ab‑initio force calculations, speeding molecular‑dynamics.
Research Internship
The University of Western Australia
avr. 2018 - août 2018
5 mois
Région de Perth, Australie
Theoretical chemistry - High-level potential energy surface for the movement of a-cyclodextrin along a rotaxane axle
Research Internship
Laboratoire Réactions et Génie des Procédés
avr. 2017 - août 2017
5 mois
Région de Nancy, France
Material science - 3D printing optimization
Research Internship
Université Paris-Sud
juin 2016 - juil. 2016
2 mois
Région de Paris, France
Electrochemistry - Development of an electrochemical biosensor by electrochemical polymerization.
Research Internship
Université Claude Bernard Lyon 1
mai 2015 - juil. 2015
3 mois
Région de Lyon, France
Drug discovery - Investigation of cyclophilin D inhibitor by fragment screening in 2D NMR.
Formation
Sorbonne University
Master's degree Material Science
2016 - 2018
3 ans
Paris-Sud University (Paris XI)
Bachelor of Chemistry
2015 - 2016
2 ans
Université Claude Bernard Lyon 1
Bachelor of Biochemistry
2012 - 2015
4 ans
Licences et certifications
EXIN Agile Scrum Foundation (ASF)
Délivré le : mai 2025
Google Prompting Essentials
Délivré le : févr. 2025
Portfolio
Pipeline de comparaison documentaire & chatbot GenAI pour équipe juridique
