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Charaf A.CA

Charaf A.

GenAI Developer - Data Scientist

€200/day
Paris, FR
3-7 years

Average response time: 1 hour

About Charaf

I design and ship prod grade GenAI systems. My focus is turning large language models into reliable, secure and useful tools embedded in real business workflows.

I currently work as a GenAI Engineer on a large-scale Loyalty Platform at Amadeus, where I build AI assistants used by product and support teams to search knowledge, execute actions and interact with complex systems through RAG, tool-calling and AI agents. Before that, I built and monitored RAG-based chatbots and agentic systems for enterprise clients at SaaSOffice, with strong emphasis on quality, traceability and observability.

What I help you with:
  • Building RAG pipelines on internal documentation (Confluence, SharePoint, PDFs, APIs, databases)
  • Designing AI assistants & copilots that actually execute tasks via tools and APIs
  • Creating secure, scalable GenAI backends (FastAPI, Java, Azure, Docker, Kubernetes)
  • Improving LLM reliability: evaluation, logging, hallucination control, prompt & retrieval tuning
  • Integrating AI into existing products and workflows
Tech stack:
  • LLMs & Orchestration: OpenAI, Azure AI Foundry, LangChain, agents, function calling
  • RAG & Search: vector databases, embeddings, document pipelines, chunking strategies
  • Backend & APIs: Python (FastAPI), Java (Spring), REST, tool APIs
  • Infra & Ops: Docker, Kubernetes, CI/CD, cloud deployments
  • Monitoring: Langfuse, custom evaluation, logging & feedback loops
Open to diverse AI missions:

My background includes:
  • Machine Learning & NLP (research projects at Inria, large-scale text classification, transformers, LSTM, fine-tuning)
  • Computer Vision (YOLO, image processing, detection and recognition pipelines)
  • Advanced research topics such as neuromorphic models and attention mechanisms, explored in academic and experimental settings
I’m also open to teaching, training and mentoring roles: helping teams, students or organizations understand and adopt modern AI, from fundamentals to production-grade systems.

  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • Amadeus
    GenAI Developer
    September 2025 - Today (9 months)
    Working on the development and deployment of AI Assistants within the Amadeus Loyalty Platform, where I design RAG, agents and tool-calling capabilities across the Azure ecosystem to support their integration into real product workflows.
    intelligence artificielle Azure AI Agile Project Management Python External API integration
  • SAAS OFFICE
    AI Engineer
    March 2025 - August 2025 (5 months)
    06560 Valbonne, France
    Contributed to the development and optimization of intelligent chatbots using Retrieval-Augmented Generation (RAG) models. Focused on improving pipeline efficiency, monitoring agent performance, and implementing scalable AI solutions tailored for SaaS platforms and enterprise use cases.
    intelligence artificielle Python External API integration Data Pipelines and Warehousing Web scraping
  • Inria
    NLP & Machine Learning Engineer
    June 2024 - September 2024 (3 months)
    06560 Valbonne, France
    Working with the WIMMICS team on the CIGAIA project, focusing on the collection and processing of textual data related to the Ukraine-Russia war.
    Machine learning Deep Learning TensorFlow NLP Data science

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Education

  • Master's degree
    EIT Digital Alumni
    2025
    Master's degree
  • Engineer's degree
    Polytech Nice Sophia
    2025
    Engineer's degree

Skill set

Categories