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Gauvain RobertGR

Gauvain Robert

AI: LLM, Vision, Image Generation, etc. | Mobile App

€125/day
Tokyo, JP
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Gauvain

A flexible and innovative model

I propose an approach designed to adapt to the unique needs of each company:
  • The development of your custom product is included at no initial cost.
  • Only the production and continuous maintenance of your product over time are invoiced,in the form of a monthly fee based on usage.
  • This methodologyreduces your financial riskswhile guaranteeing you a high-performance, scalable solution perfectly adapted to your needs.

My areas of expertise

With several years of experience, I specialize in:
  • **Generative artificial intelligence (Generative AI)**: generation of multimedia content such as images, videos, sounds and text.
  • Prompt Engineering
  • Computer vision: development of advancedand customsolutions for image recognition, object tracking, video analysis, segmentation, pose tracking, counting and the creation of face filters.
  • Development ofmobile applicationswith React, React Native, and Android
  • Production and optimization of language models (LLMs)
  • Production and deployment of your **APIs or applications with AWS**, in compliance with GDPR requirements
  • Implementation ofRAG(Retrieval-Augmented Generation) systems to enrich AI models with your knowledge bases, guaranteeing relevant, precise and up-to-date responses.

I also offer you the possibility of integrating tools likeNotioninto your web and mobile applications, to offer intuitive, flexible and fully customizable content management.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • AIST
    Research Engineer
    RESEARCH
    December 2023 - Today (2 years and 6 months)
    Tsukuba, Japan
    Development of robust autonomous navigation systems based on diffusion-based policies to improve trajectory generation, multimodal action prediction and collision avoidance for mobile robots.
    Using state-of-the-art 3D reconstruction techniques (NeRFs, Gaussian Splatting, InstantSplat) to create realistic test environments from YouTube videos.
  • PIINK TEKNOLOGY
    Machine Learning Engineer
    TECH
    July 2020 - April 2022 (1 year and 9 months)
    Development of Android and Unity applications
    Design of algorithms for object detection on point clouds
    C++ Scikit-learn Python Deep Learning

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Education

  • Master Artificial Intelligence and Pattern Recognition
    Université Paul Sabatier
    2020

Skill set (50)

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