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Florent Donat-BouilludFD

Florent Donat-Bouillud

AI engineer

€500/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Florent

During my experiences at France Télévisions, Alten, and the SCRIME laboratory, I have developed solutions in NLP, computer vision, audio, and generative AI, with a strong focus on performance, data quality, and model optimization.

My expertise:
Development of Machine Learning and Deep Learning models
LLM, RAG, LangChain, Hugging Face
Computer Vision (CNN, Vision Transformers)
NLP and data processing
Audio AI (DSP, music generation, audio deepfake)
Inference optimization and model deployment
Technical stack

Python • PyTorch • TensorFlow • Scikit-learn • OpenCV • Hugging Face • LangChain • ChromaDB • SQL • Docker • Git • Linux • C++

What I can achieve
AI Proof of Concept Development
Creation of AI assistants based on LLMs
Implementation of RAG systems on your data
Development of classification, detection, and prediction models
Data preparation and processing
Optimization and industrialization of ML pipelines
Technical support on AI projects

I favor robust, documented, and easily maintainable solutions, with particular attention to performance and code quality.
  • French

    Native or bilingual

  • German

    Fluent

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

Experience

  • SCRIME,
    Research Intern
    March 2025 - October 2025 (7 months)
    Bordeaux, France
    • • Developed generative models for live musical improvisation using the Metapiano interface, including Markov chains, LSTM, and Transformer-based approaches
    • • Trained on MIDI and MusicXML corpora such as MAESTRO and the Weimar Jazz Database
    • • Optimized the inference pipeline for interactive use, reaching inference latency below 10 ms
    Python POC real-time-processing Transformers Machine Learning
  • Alten,
    Research Intern
    March 2024 - September 2024 (6 months)
    Sèvres, France
    • • Developed end-to-end solutions for pedestrian intention detection in urban environments
    • • Implemented and deployed CNN, and Transformer-based models using PyTorch, TensorFlow, and OpenCV
    • • Optimized computational efficiency for production-oriented deployment
    Python Machine Learning Transformers Computer Vision Docker
  • France Télévisions,
    NLP / Data Processing
    March 2023 - August 2023 (5 months)
    Paris, France
    • • Built training datasets for translation models
    • • Developed data pipelines for preprocessing and relational database querying
    Machine Learning Dataset NLP Python SQL

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Education

  • Master in Intelligent Systems Engineering
    Sorbonne Université
    2025
    Master in Intelligent Systems Engineering
  • Robotics, Linear Control and AI
    Sorbonne Université
    2023
    Robotics, Linear Control and AI

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