Freelancer profile translated to English.
Back to original languageAbout Mamadou
I am an AI Engineer specialized in the design and deployment of high-impact artificial intelligence systems, with expertise in Generative AI, multi-agent systems, and MLOps.
I help companies automate their critical business processes using AI (KYC, compliance, fraud, knowledge management).
🚀 What I do concretely:
Design of GenAI systems (LLM, RAG, LangChain, LangGraph)
Development of multi-agent systems (Agentic AI)
Automation of business processes (KYC, compliance, back-office)
Deployment (Docker, CI/CD, GCP/AWS/Azure cloud)
Integration with information systems (API, workflows)
💡 Recent use cases:
Multi-agent system to automate KYC controls (banking)
RAG chatbot on internal documents
Enterprise-scale GenAI solutions benchmark
🎯 Why work with me:
Business-oriented approach (not just technical)
Production expertise (scalability, monitoring, robustness)
Experience in demanding environments (banking, industry)
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Strasbourg (up to 40km), Bordeaux (up to 10km), Lyon (up to 10km), Nantes (up to 10km)
Experience
- BPCEAI ENGINEERBANKING AND INSURANCEJuly 2025 - Today (1 year and 1 month)Charenton-le-Pont, FranceDesign of a multi-agent AI system (Agentic AI) for automating banking business controls for KYC and life insurance use cases.Key achievements
- Design of a multi-agent architecture (LangGraph):
* Orchestrator + specialized agents (KYC, documents, IS, compliance)* Dynamic orchestration based on externalized business rules (CSV → AI execution plan)- Automation of KYC controls (permanent control):
* Data extraction from documents (multimodal PDF)* Automated verification of regulatory rules (identity, compliance, IS consistency)* Management of incomplete cases with a document request workflow- Explainable & auditable system:
* Generation of structured control reports (OK / KO per rule)* Traceability of decisions for banking compliance- Life Insurance Case – death certificate automation:
* AI pipeline for automatic validation of administrative documents* Integration with Google Agent Engine / ADK- Industrialization & orchestration:
* Design of a reusable framework for different business controls* Integration with IS via APIs and agentic protocols (MCP)Impact- Significant reduction in manual control tasks
- Acceleration of KYC / compliance processes
- Implementation of a scalable agentic foundation for future use cases
- Renault GroupML / Data Scientist Consultant GenAIAUTOMOBILEJanuary 2025 - June 2025 (5 months)Boulogne-Billancourt, FranceContext: Strategic benchmark of GenAI platforms to identify the best solution for orchestrating agents and RAG systems at enterprise scale.Key achievements
- Design of advanced GenAI test scenarios:
* Classic RAG vs. agentic RAG (multi-agents)* Business use cases based on internal documents (SharePoint, knowledge base)- Evaluation of AI platforms:
* Dataiku LLM Mesh - AIDGenAI EngineerCONSULTING AND AUDITSJanuary 2024 - December 2024 (11 months)Paris, France
- Implementation of an MLOps pipeline to deploy a RAG chatbot on internal documents
- Data vectorization with Chromadb, integration with Langchain
- Model testing with RAGAS, performance monitoring, and drift management
- Deployment via Streamlit, cloud orchestration (Azure)
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Education
- Master in Applied Mathematics, Scientific Computing, and Information MathematicsUniversity of Strasbourg2016
Certifications
- Data Engineerblent2023