Laurine Lafontaine

Développeuse logiciel at Arcane Technologies
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Contact Information
us****@****om
(386) 825-5501
Location
Québec, Quebec, Canada, CA
Languages
  • Allemand Limited working proficiency
  • Anglais Professional working proficiency
  • Français Native or bilingual proficiency

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Credentials

  • TOEIC (955/995)
    ETS
    Sep, 2020
    - Sep, 2024

Experience

  • Arcane Technologies
    • Canada
    • Software Development
    • 1 - 100 Employee
    • Développeuse logiciel
      • Aug 2023 - Present
  • HarfangLab
    • France
    • Computer and Network Security
    • 1 - 100 Employee
    • Ingénieure intelligence artificielle
      • Nov 2021 - Apr 2023
  • ICube Strasbourg
    • France
    • Think Tanks
    • 1 - 100 Employee
    • Research deep learning intern
      • Apr 2021 - Sep 2021

      Research on spatio-temporal graphs and frequent patterns mining, via deep learning, mostly based on the article Neural Subgraph Matching by R.Ying, A.Wang, J. You, C. Wen, A. Canedo and J. Leskovec Research on spatio-temporal graphs and frequent patterns mining, via deep learning, mostly based on the article Neural Subgraph Matching by R.Ying, A.Wang, J. You, C. Wen, A. Canedo and J. Leskovec

  • Institut de Recherche Criminelle de la Gendarmerie Nationale (IRCGN)
    • France
    • Law Enforcement
    • 1 - 100 Employee
    • End of year project - Python programmer deep learning
      • Jun 2020 - Sep 2020

      Python programmer, deep learning and deepfake oriented within a team of two. Development of a deepfake software for the Gendarmerie Nationale's Criminal Research Institute with PyTorch. Python programmer, deep learning and deepfake oriented within a team of two. Development of a deepfake software for the Gendarmerie Nationale's Criminal Research Institute with PyTorch.

  • AFP
    • France
    • Media Production
    • 700 & Above Employee
    • Tutored project - Python programmer deep learning
      • Nov 2019 - May 2020

      Tutored project in which I was a deep learning, docker and fullstack oriented python programmer in a team of three. Deepfakes detection algorithm and its inclusion in the WeVerify InVID plugin of the AFP. My team and I had the opportunity to present this project at the Cité des Sciences Tutored project in which I was a deep learning, docker and fullstack oriented python programmer in a team of three. Deepfakes detection algorithm and its inclusion in the WeVerify InVID plugin of the AFP. My team and I had the opportunity to present this project at the Cité des Sciences

  • Fortus Aubervillliers
    • Graphic designer and web developer internship
      • Apr 2018 - Jul 2018

      Internship at Fortus, a company specialised in the wholesale trade (business to business) of household appliances. Creation of banners, catalogues and CMS websites. Took and edited photographs. Internship at Fortus, a company specialised in the wholesale trade (business to business) of household appliances. Creation of banners, catalogues and CMS websites. Took and edited photographs.

Education

  • IMAC
    Engineering, Image and IT
    2018 - 2021
  • Université Gustave Eiffel
    Master 2 (M2), Informatique Sciences de l'image (double diplôme)
    2020 - 2021
  • Université du Québec à Chicoutimi
    Baccalauréat, Art interdisciplinary
    2017 - 2017
  • IUT de Bobigny
    Métiers du multimédia et de l'Internet
    2016 - 2018
  • Lycée René Cassin Gonesse
    Baccalauréat scientifique, Mention bien
    2015 - 2016

Community

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