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Richard FaucheronRF

Richard Faucheron

Deep Learning, Scientific Computing

€125/day
Toulouse, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Richard

Experienced Deep Learning Engineer, I offer my freelance services to develop state-of-the-art deep learning algorithms and adapt them to your business problems.

Graduated from the ENSIMAG engineering school and the University of Grenoble Alpes in Statistics and Applied Mathematics, I have worked with several research laboratories in various fields such as medical imaging, satellite data processing, and bioacoustics.

Autonomous and curious, I adapt to business problems to define the most appropriate methodologies with you. My skills range from data preprocessing to results analysis, including neural architecture development, model training, and validation protocol.
I can also develop simple, intuitive applications that allow you to manipulate my scripts autonomously and visualize the results and intermediate outputs of the model.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Centre National de la Recherche Scientifique
    Research Engineer in Scientific Computing
    AVIATION AND AEROSPACE
    September 2020 - September 2022 (2 years)
    Toulouse, France
    - Brightness maps reconstruction from aperture synthesis (radiometric data inversion).
    - Develop deep learning algorithms, alternative to classical regularized inversion methods.
    - Context of the SMOS spatial mission
    - Visualization
    - Python programming
  • IRD
    Deep Learning Engineer
    ENVIRONMENTAL
    August 2018 - July 2019 (11 months)
    Nouméa, New Caledonia
    - Develop artificial neural networks, Random Forest algorithms
    - Species identification from complex audio recordings
    - Signal processing, bioacoustic
    - Research project development
    - R programming
  • INSERM
    Data Scientist
    HEALTH AND WELLNESS
    April 2018 - July 2018 (3 months)
    Grenoble, France
    - Develop artificial neural networks : automated medical image segmentation
    - Develop Shiny dashboard apps to do predictions and analysis utilizing trained models
    - Write user and developer guides
    - R programming

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Education

  • Master II - Science in Industrial and Applied Mathematics, Data Science Track
    National School of Computer Science and Applied Mathematics of Grenoble
    2020
    Master II - Science in Industrial and Applied Mathematics, Data Science Track
  • Master I - Statistics and Data Science, Computational and Applied Mathematics
    Université Grenoble Alpes
    2018
    Master I - Statistics and Data Science, Mathématiques computationnelles et appliquées

Skill set (11)

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