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Pierre BaratPB

Pierre Barat

Deep Learning Engineer

€500/day
Avignon, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Pierre

Centralien engineer, I specialized in deep learning, the part of AI that concerns neural networks. After a year as a contractor at Capgemini at the end of my studies, I decided to try freelancing to focus on my favorite field.

I am interested in any application of deep learning techniques to a concrete problem (with a reservation about profiling, marketing, and finance). I already have some experience in NLP and computer vision.

I propose to approach the project development as follows:
- Assistance in defining the project specifications and scope: delivery methods, constraints, evaluation metrics, quantified objectives
- Feasibility study (state-of-the-art review, available datasets) leading to a technical report
- Implementation of a solution meeting the objectives
- Training of the neural network
- Delivery of clear and documented code
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

  • Italian

    Conversational

Remote only
Primarily works remotely

Experience

  • Capgemini DEMS France S.A.S
    Deep Learning Engineer
    ENVIRONMENTAL
    January 2022 - Today (4 years and 5 months)
    Aix-en-Provence, France
    SustainableAI: an R&D project focused on estimating the environmental impact of deep learning, and exploring more energy-efficient alternatives (algorithms, methods).
    - Definition of the scope and methodology to be implemented
    - Selection of tasks, datasets, and neural network architectures representative of current uses
    - Implementation of numerous architectures, scripting (pre/post-processing)
    - Training on Computer Vision and NLP tasks
    - Recording of electricity consumption measurements (codecarbon, carbontracker)
    - Study of performance/efficiency trade-offs (transfer learning, distillation)
    Python 3 tensorflow keras Hugging Face transformers Python kaggle notebooks google colab codecarbon carbontracker

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Education

  • Generalist Engineer
    Centrale Marseille
    2019
    Formation d'ingénieur généraliste (fondamentaux dans de nombreux domaines scientifiques) avec une spécialisation progressive en mathématiques appliquées et en informatique.

Skill set

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