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Mélanie MilleMM

Mélanie Mille

AI Engineer | Automation, GenAI, Data

€450/day
Nice, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mélanie

My strength: a dual role. My time in a consulting firm taught me how to frame a need with you, even when the idea is still vague. My technical background then allows me to build the solution.

As an AI Engineer, I help companies automate their processes, free up their teams for higher-value tasks, and better leverage their data.

What I implement:
– custom RAG assistants, trained on your own documents
– LLM-driven workflow automations for your business processes
– decision support tools based on your data (prediction, segmentation, optimization)

Want to discuss it concretely? Feel free to contact me!
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Portuguese

    Conversational

Remote only
Primarily works remotely

Experience

  • Motilde
    AI Engineer
    TECH
    July 2025 - May 2026 (10 months)
    Barcelona, Spain
    - 6 hours/week freed up for a project engineer: identification of a process with high automation potential in tender management, followed by end-to-end design and development of the associated workflow: reading, evaluation, and response proposal (n8n).
    - Designed and developed a custom GenAI RAG assistant (LangChain, Ollama, local embeddings) indexing over 200 technical datasheets. Employees find information in seconds, locally and 100% securely.
    Langchain RAG n8n Project Management Audit
  • Argon & Co
    Operational Strategy Consultant
    CONSULTING AND AUDITS
    August 2023 - June 2025 (1 year and 10 months)
    Paris, France
    - €30 K projected savings for a construction company, through analysis of purchasing data and creation of decision support dashboards.
    - Designed a customer segmentation model (ML) by price elasticity to improve profit margins, developed internally as a new offering for e-commerce clients.
    - Built an inventory optimization tool for a French luxury house, improving budget allocation for future collections and providing actionable insights to network directors.
    Data Analysis Machine learning Project Management Business Intelligence Needs Analysis
  • CNRS
    AI Researcher - Deep Reinforcement Learning
    RESEARCH
    July 2021 - December 2022 (1 year and 5 months)
    Singapore
    - 8.8% reduction in annual electricity costs through a DRL controller for energy management in buildings within a simulated microgrid environment (Python, TensorFlow, Stable-Baselines).

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Education

  • Engineering Degree
    ENSTA Paris – Institut Polytechnique de Paris
    2023
    Diplôme d'ingénieur en mathématiques appliquées
  • Research MSc
    National University of Singapore
    2023
    Mathématiques appliquées

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