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Abdelatif DjeddouAD

Abdelatif Djeddou

AI Agents & RAG Developer | AI Engineer

€400/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Abdelatif

  • đŸ€– AI Engineer & Data | Specialist in AI Agents, RAG, and LLMOps

Student in M2 MSID (EMLV) + L3 Computer Science (Paris 8), I design and deploy Generative AI solutions to automate your business processes.

🎯 MY EXPERTISE

‱ Autonomous AI Agents & multi-agent orchestration (LangChain, LangGraph, CrewAI)
‱ RAG Systems for leveraging your document bases (Chroma, Pinecone, FAISS)
‱ LLM Integration (OpenAI, Claude, Azure OpenAI) and fine-tuning (Mistral, Llama)
‱ Python Backend (FastAPI, REST APIs)
‱ Cloud Architecture (Azure, AWS) and secure deployment
‱ Agile Project Management (PSM I)

đŸ’Œ KEY EXPERIENCE

đŸ›ïž BNP Paribas Personal Finance (since Sept. 2024)
‱ GenAI Catalyst: AI use case qualification, RAG/Agent architectures design
‱ Transformation Officer: IT performance steering, Agile@Scale, Lean Management

⚡ CIEC - ENGIE Group (Sept. 2023 - Sept. 2024)
‱ Automation of report processing via OCR + Generative AI (↓ 45% time)
‱ Intelligent quote follow-up system (10 min → <1 min)
‱ Power BI Dashboards coupled with SAP/COUPA

🚀 PERSONAL PROJECTS

‱ VibeReco: music recommendation by LLM + re-ranking
‱ DeepRead: RAG agent for long document analysis
‱ Edge Benchmark: LLM benchmark framework on edge devices
‱ Littera: multilingual RAG chatbot Streamlit

💡 WHY ME?

Dual technical (AI, cloud) + business (project, digital transformation) expertise to understand your challenges and deliver concrete, measurable, and industrializable AI solutions.

From proof of concept to production, I support you on your automation projects, unstructured data exploitation, and generative AI strategy.
  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Conversational

Remote only
Primarily works remotely

Experience

  • BNP Paribas Personal Finance
    Transformation and Continuous Improvement Support Officer
    BANKING AND INSURANCE
    September 2024 - Today (1 year and 10 months)

    💡 Definition of generative AI use cases: framing business needs to automate low-value tasks in the IT department.

    📊 Participation in IT audits: contribution to improving project maturity & team compliance (framing, tools, steering).

    đŸ€– Support for the AI transformation program: contribution to internal agent PoCs and opportunity mapping.
  • CIEC Engie solutions
    Tool and Method Officer
    ENERGY AND UTILITIES
    September 2023 - September 2024 (1 year)
    Paris, France
    ⚙ Implementation of AI & OCR solutions for technical report processing → ↘ 45% workload, ↑ overall productivity.

    đŸ“© Design of an intelligent quote follow-up system → ↘ processing from 10 min to < 1 min, improved commercial responsiveness.

    📈 Deployment of intelligent Power BI dashboards (coupled with SAP and COUPA) to support strategic decision-making.

    🔄 Automation of Office 365 / Azure processes: standardization of internal workflows for support & purchasing teams.

    đŸ€ Coordination of suppliers/subcontractors: improved communication flow through integrated collaborative tools.
    Generative AI Artificial Intelligence Python Microsoft Power BI Coupa SAP S/4 HANA MySQL

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Education

  • Grande Ecole Program Master in Information Systems Management and Data
    EMLV - Business School Leonardo da Vinci
    2025
    Data Science et Intelligence Artificielle - Conception et dĂ©veloppement de modĂšles prĂ©dictifs via Machine Learning (niveau avancĂ©) et Deep Learning. - Mise en Ɠuvre de pipelines de donnĂ©es et analyse massive (Big Data, Data Analytics) en environnement Python et SQL. - IntĂ©gration des nouvelles technologies d'IA gĂ©nĂ©rative et maĂźtrise des concepts LLMOps pour le dĂ©ploiement de modĂšles. Architecture Cloud et Industrialisation - Conception d'architectures Cloud sĂ©curisĂ©es et scalables (prĂ©paration Ă  la certification AWS Solutions Architect). - Gestion du cycle de vie des projets Data, de la preuve de concept Ă  la mise en production. - Analyse des risques IT, audit et mise en conformitĂ© (CybersĂ©curitĂ©). Pilotage de Projets Techniques - Application des mĂ©thodologies Agile (Scrum/PSM I) et Lean Management pour l'optimisation des processus de dĂ©veloppement. - StratĂ©gie de gouvernance des donnĂ©es et alignement des systĂšmes d'information avec les besoins mĂ©tiers.
  • Computer Science Bachelor's Degree
    University Paris 8
    2025
    Formation généraliste offrant un socle solide en informatique fondamentale et mathématiques appliquées. Développement & Algorithmique : - Maßtrise des paradigmes de programmation : Impératif (C), Orienté Objet (Java) et Scripting (Python). - Algorithmique avancée et structures de données complexes. Infrastructures & SystÚmes : - Administration systÚme (Linux/Unix) et fonctionnement des réseaux. - Gestion de bases de données relationnelles (SQL). Mathématiques : - AlgÚbre linéaire, Probabilités et Statistiques (fondamentaux pour la Data Science).

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