Jules Crevola

AI Engineer Consultant @Cellenza | Chanel | X-HEC | Bocconi

France

About

Always looking for opportunities in the F1 industry, especially in Data Science & AI :)

Experience

  • AI Engineer Consultant at Cellenza
    Jan 2026 - Present · 6 mos

    Consultant in the AI team for clients in the luxury and retail industry. First project: development and monitoring of Microsoft Copilot Studio agents for various departments of the client. Development of a custom agent to integrate into tools such as Teams, using LangChain, Azure and Terraform.

  • Alignerr Code Debugger at Alignerr
    Oct 2025 - Jan 2026 · 4 mos

    Daily tasks to improve and fix Python code errors, running them with a wrapper on remote GPU. Tasks range from classical data processing to machine learning and deep learning.

  • GenAI Assistant, Client Analytics Team, Europe Region at CHANEL
    Apr 2025 - Sep 2025 · 6 mos

    Built an AI product from scratch on Python and Azure ML, based on LLMs to perform topic modelling and emotions analysis on free text. Delivered a full analysis of client reviews to the business teams thanks to the product. Packaged the product to make it an internal Python library. Worked on prompt engineering for an internal chatbot, leveraged the RAGAS metrics for evaluation.

  • Co-Founder at SaveOut
    Jan 2025 - Apr 2025 · 4 mos

    We built a tool for independent apparel retailers to bring better foot traffic in their store and improve their conversion rates.

  • Data Science Intern at Ekimetrics
    Apr 2024 - Aug 2024 · 5 mos

    Participated in a project for a major player in the Cosmetics industry to monitor their Marketing expenses on a global level. Interviewed the client on various occasions to understand its needs and built a set of dashboards from scratch on PowerBI to fulfill them (in charge of the visuals, the semantic model, the security and the user interface in collaboration with a Product Designer). Trained the next intern on the software. Aggregated output of numerous Bayesian regression models on Python and Excel to give the client insights on the efficiency of its Marketing investments. Developed a RAG on Python and deployed it on Gradio to access relevant knowledge from internal sources.