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Gilles KuhornGK

Gilles Kuhorn

Data Scientist | Machine Learning Engineer

€500/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Gilles

After graduating from Polytechnique school, I spent two years in research in Artificial Intelligence in a laboratory where I worked on the link between the dynamics of neural networks and their structure. I developed strong expertise in Machine Learning.

I can work on every step of the Data Science pipeline.
- Data retrieval and processing.
- Exploration and visualization.
- Design of Machine Learning and Deep Learning models.
- Testing model effectiveness and delivering documented and commented solutions.
- Model deployment
- MLOps: automation of the ML pipeline (data extraction, training, and deployment)

I also have full-stack web development skills.

I am currently looking for freelance opportunities, feel free to contact me to discuss your needs!
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Chinese

    Conversational

Can work on-site
Paris (up to 50km)

Experience

  • Institute of Molecular and Clinical Ophthalmology Basel (IOB)
    Research Engineer
    RESEARCH
    May 2021 - Today (5 years and 1 month)
    Basel, Switzerland
    Research Engineer in Artificial Intelligence.
    - Theoretical study of the link between connectivity of an RNN and topology of its dynamics.
    - Data analysis and visualization of head direction cells data.
    - Study of noise correlations in data.
  • Institut d'Optique Graduate School
    Research Internship
    RESEARCH
    March 2020 - August 2020 (5 months)
    91120 Palaiseau, France
    Research Internship in Prof. Antoine Browaeys' team:
    - Optimization of algorithms that assembles arbitrary atoms array, trapped by optical tweezers, for quantum simulation purposes
  • École Polytechnique (CPTH)
    Research Project
    November 2019 - March 2020 (4 months)
    91120 Palaiseau, France
    Research project on Kondo effect using the periodic Anderson model
    - Numerical study of metals' resistivity variations due to magnetic impurities at low temperature
    - Study the scaling behavior of physical quantities thanks to DMFT

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Education

  • Master 2 (M2) - International Center for Fundamental Physics and its Interfaces
    École normale supérieure
    2021
    Master 2 (M2) - Centre International de Physique Fondamentale et de ses interfaces
  • Engineering Degree, Physics and Computer Science
    École Polytechnique
    2021
    Diplôme d'ingénieur, Physique, Informatique

Skill set

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