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I am an aspiring GenAI Engineer specialized in building and industrializing LLM-based systems (RAG, agents, evaluation). Available from February 2026, I have hands-on experience deploying GenAI tools for demanding business users in regulatory finance and legal contexts. I excel at translating vague business needs into reliable, measurable, production-ready IA pipelines. My strength is turning unclear requirements into end-to-end IA workflows with observable performance and robust governance, collaborating with legal and data teams to prioritize use cases, secure adoption, and deliver packaging and operational handoffs for ongoing production support.…I am an aspiring GenAI Engineer specialized in building and industrializing LLM-based systems (RAG, agents, evaluation). Available from February 2026, I have hands-on experience deploying GenAI tools for demanding business users in regulatory finance and legal contexts. I excel at translating vague business needs into reliable, measurable, production-ready IA pipelines. My strength is turning unclear requirements into end-to-end IA workflows with observable performance and robust governance, collaborating with legal and data teams to prioritize use cases, secure adoption, and deliver packaging and operational handoffs for ongoing production support.

Abderrahmane Benjary

AI Engineer, AI Developer, AI Prompt Engineer, +2

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I am an aspiring GenAI Engineer specialized in building and industrializing LLM-based systems (RAG, agents, evaluation). Available from February 2026, I have hands-on experience deploying GenAI tools for demanding business users in regulatory finance and legal contexts. I excel at translating vague business needs into reliable, measurable, production-ready IA pipelines. My strength is turning unclear requirements into end-to-end IA workflows with observable performance and robust governance, collaborating with legal and data teams to prioritize use cases, secure adoption, and deliver packaging and operational handoffs for ongoing production support.…I am an aspiring GenAI Engineer specialized in building and industrializing LLM-based systems (RAG, agents, evaluation). Available from February 2026, I have hands-on experience deploying GenAI tools for demanding business users in regulatory finance and legal contexts. I excel at translating vague business needs into reliable, measurable, production-ready IA pipelines. My strength is turning unclear requirements into end-to-end IA workflows with observable performance and robust governance, collaborating with legal and data teams to prioritize use cases, secure adoption, and deliver packaging and operational handoffs for ongoing production support.

Available to hire

I am an aspiring GenAI Engineer specialized in building and industrializing LLM-based systems (RAG, agents, evaluation). Available from February 2026, I have hands-on experience deploying GenAI tools for demanding business users in regulatory finance and legal contexts. I excel at translating vague business needs into reliable, measurable, production-ready IA pipelines.

My strength is turning unclear requirements into end-to-end IA workflows with observable performance and robust governance, collaborating with legal and data teams to prioritize use cases, secure adoption, and deliver packaging and operational handoffs for ongoing production support.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Stage PFE – GenAI Engineer (LLM, RAG & Agents) at Autorité des Marchés Financiers (AMF), Paris

March 1, 2025 - August 1, 2025

Conçu et déployé un copilote juridique basé sur LLM pour les équipes de régulation (recherche documentaire, analyse d'articles, justification des réponses). Développé un pipeline RAG agentique (LangGraph, FAISS, reranking, cache) utilisé par des utilisateurs métiers non techniques. Améliorations: +27% de précision contextuelle, -60% de latence, -18% d'erreurs factuelles via optimisation du retrieval, des embeddings et de la mise en cache. Mise en place d'une chaîne d'évaluation et de monitoring (MLflow, RAGAS) pour suivre qualité, coûts et dérives des modèles. Animé des ateliers avec juristes et équipes Data pour prioriser les cas d’usage et sécuriser l’adoption métier. Packaging, documentation et transfert en conditions opérationnelles à l’équipe Data Intelligence.

Stage – Ingénieur Automatisation & Fiabilité at Alstom

September 1, 2023 - January 1, 2024

Développement d’un outil d’automatisation des tests industriels (C#, Python, VBA) intégré au pipeline de validation du MPU. Réduction d'environ 80% du temps de campagne de test, amélioration de la traçabilité et de l’auditabilité. Travail avec les équipes systèmes et validation pour fiabiliser un process critique de mise en production.