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N'Bouyaa KassingaNK

N'Bouyaa Kassinga

GenAI / LLM Engineer

€750/day
2 projects
Paris, FR
3-7 years

Average response time: 1 hour

About N'Bouyaa

Senior GenAI / LLM Engineer helping enterprises design and industrialize production-grade AI assistants on Azure & AWS.
Expert in RAG, agent orchestration, secure APIs and cost-optimized LLM systems.
I turn GenAI POCs into scalable, secure and reliable solutions used daily by business teams.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • CHANEL
    GenAI-Powered SAP BW Migration Platform on Azure (OpenAI, Fabric)
    LUXURY GOODS
    October 2025 - Today (8 months)
    Paris, France
    • ● Enterprise Data Migration & -Microsoft Azure: Designed and implemented an enterprise-grade AI assistant on Microsoft Azure to accelerate the migration of legacy SAP BW systems to Microsoft Fabric following SAP end-of-life. ○ Built Azure-native GenAI pipelines for automated documentation and code understanding of SAP BW / ABAP transformations. ○ Developed AI-assisted translation workflows converting legacy SAP logic into production-ready PySpark jobs executed in Microsoft Fabric (Lakehouse / OneLake). ○ Designed a fully serverless and containerized backend using Azure Functions, Azure Blob Storage, Azure Container Registry and RBAC. ○ Orchestrated Agent-based LLM workflows on Azure AI / Azure OpenAI for reasoning, validation and transformation standardization. ○ Ensured scalability, security, auditability and cost control of LLM workloads on Azure.
    Azure OpenAI Azure Functions Azure Containers Azure DevOps SAP BW
  • M6
    Secure Enterprise AI Assistant
    PRESS AND MEDIA
    April 2024 - August 2025 (1 year and 4 months)
    Neuilly-sur-Seine, France
    • ● Developed Alfred, an innovative enterprise AI assistant leveraging AWS Bedrock, Langchain currently in production. Key features include:
    • General conversational abilities powered by AWS Bedrock. ○ Benchmark of open source RAG solutions (danswer )
    • Run differents experiments for RAG's Improvements: chunking, embedding models choice, Re-ranking (Used DeepEval to evaluate the performance of these techniques through some metrics)
    • Advanced document analysis (PDF, Excel, EML, DOCX) using RAG as a tool of an AI agent
    • Intelligent web search with intent detection.
    • Document summarization and secure enterprise data governance, including prompt injection prevention and topic filtering.
    • Implemented Langfuse integration for monitoring and analytics.
    • Set up the LLM Backend for different M6 entities in order to increase their Productivity
    • Reduced query resolution time by 50%, enhancing employee productivity.
    • Migrate the AI assistance front from chainlit to OpenWebUI
    • Deployment made using terraform for the infrastructure and CI/CD pipelines (gitlab)
    LLM Amazon Bedrock Retrieval-Augmented Generation (RAG) Terraform Prompt engineering
  • Devoteam A Cloud
    AI and Cloud Consultant
    CONSULTING AND AUDITS
    November 2022 - September 2025 (2 years and 10 months)
    Paris, France
    • Gen AI Art Search Engine (AWS Summit): Co-Developed an advanced art recommendation engine leveraging Amazon Bedrock, enhancing user engagement with personalized suggestions.
    • Gen AI (Plussimple): Deployed a RAG architecture integrating customer documents (FAQs, contracts) with user-specific access control, improving response accuracy by 70%.
    • Data Catalog Implementation (Air Liquide): Designed a data catalog for 20M+ entries using Azure Purview, enabling seamless data discovery and execution monitoring.
    • Whisper Inference Optimization (Gladia): Worked on compilation and inference of Whisper models on AWS Inferentia allowing inference improvement by 10% in terms of latency and reducing cost by +50%.
    • Conducted pre-sales calls to understand client challenges, providing tailored solutions leveraging generative AI and MLOps best practices.
    • AI Technical Practice Champion: Formalized internal knowledge-sharing processes and developed solution offerings to enhance team capabilities and drive innovation across the AI practice.
    • Technical lead for internal projects: feedback-insight (consultant’s feedback on their missions).
    • Knowledge Sharing, CI/CD & MLOps Excellence: Facilitated internal workshops and knowledge-sharing sessions to upskill teams on LLM architectures, MLOps, Gen AI app development using Amazon Bedrock.
    AWS SageMaker Amazon Bedrock AWS Lambda Gitlab CI/CD Terraform

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Education

  • Data Science Major
    Ecole Centrale Méditerranée & Casablanca
    2021
    Data Science Major
  • AWS Certified Solutions Architect (SAA), AWS ML Specialty, Generative AI with LLMs (Coursera), Terraform, SnowPro Core
    AWS Certified Solutions Architect (SAA), AWS ML Specialty, Generative AI with LLMs (Coursera), Terraform, SnowPro Core

Skill set

Categories