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Guillaume DebatGD

Guillaume Debat

Fullstack Developer - R&D Engineer - PhD

€200/day
Toulouse, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Guillaume

After an engineering degree in Cognitics with a specialization in Robotics (ENSC-INP), I worked as an application consultant in the innovation department of Sogeti (leading a humanoid robotics project, chatbot, analysis of verbal and non-verbal communication) as well as on client projects (Sharepoint application maintenance).

Following this experience, I completed a PhD in Computational Neuroscience/AI on spiking neural networks applied to a computer vision task. This experience allowed me to manage my PhD project autonomously and confirm my technical skills during the development and testing of spiking neural networks.

Furthermore, I worked as a research and development engineer on embedded systems at SiConsult, where I participated in the functional analysis and design phase of two sensors (intelligent camera and microphones).

During these experiences, I worked on various projects and technologies: bio-inspired neural networks (C++, Matlab, Python, R) during my PhD, embedded development at SiConsult (C++, Python, C, Linux), robotics and application maintenance on a SharePoint site at Sogeti (Python, C#, HTML, CSS, JS) as well as giving web development courses.
Moreover, I would like to apply my skills and experience to projects with positive impacts (social and environmental).
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • TerrOïko
    R&D Engineer - Developer
    ENVIRONMENTAL
    May 2023 - Today (3 years and 1 month)
    Toulouse, France
    R&D Python Computer Vision Artificial Intelligence Project Management
  • SiConsult
    Embedded System Research and Development Engineer
    April 2022 - Today (4 years and 2 months)
    Labège, France
  • CNRS – CERCO – UMR 5549
    PhD Student - Development of a Spiking Neural Network for Motion Analysis
    October 2018 - December 2021 (3 years and 2 months)
    Toulouse, France
    Development and testing of a spiking neural network (SNN) trained with an unsupervised learning rule (STDP). This SNN is then used for motion analysis and trajectory prediction of balls in sports (e.g., Basketball). Participation in the development and testing of an event-based camera mimicking retinal function. Comparison of SNN performance on a ball trajectory prediction task with human participants (experts/non-experts).

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Education

  • Engineering Degree
    ENSC - BORDEAUX INP
    2017
    Diplôme d'ingénieur
  • Engineering Degree, Robotics Option
    ENSEIRB-MATMECA
    2017
    Diplôme d'ingénieur, Option Robotique

Certifications

Skill set

Categories