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Jérémy F.JF

Jérémy F.

C++ / Python Developer, DevOps

€500/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Jérémy

Experienced IT developer working as a freelancer in the evenings and weekends for your load increases or fixed-price projects (specialized software, automation). I teach IT up to BAC+5 in my main job, and have strong field experience having developed several telecommunication software systems managed by INEO TINEA.
  • English

    Native or bilingual

  • French

    Native or bilingual

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

Experience

  • INEO
    Fullstack Developer
    TELECOMMUNICATIONS
    September 2025 - Today (9 months)
    Toulouse, France
    Development of network gateways and other utility software for the conversion of IEC61850, HNZ, OPCUA protocols.
    A minimal test environment on a real platform is set up and the entire deployment architecture is also developed by the software client. The development itself is therefore accompanied by the DevOps part which includes automated containerization, automated deployment and automated testing. (CI/CD Github and Gitlab, Jenkins, VMWare esxi)
    C++ Python CI/CD DevOps Networks
  • Sorbonne Université
    Contractual Teacher-Researcher
    September 2025 - Today (9 months)
    Paris, France
    High-level university teaching in Computer Science at Sorbonne University, Licence / Master. Training in programming, networks, artificial intelligence and low-level computing for robotics.
    C++ Networks Python DevOps Training
  • Sorbonne Université
    PhD Student in AI Robotics
    October 2020 - December 2023 (3 years and 2 months)
    Paris, France
    PhD in AI Robotics at the Intelligent Systems and Robotics Institute of Sorbonne University. This involves experimental studies and theoretical modeling of certain families of algorithms deployed on a multitude of centimeter-scale robots in interaction.
    C Language C++ Python Scikit-learn TensorFlow

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Education

  • Master 2 Artificial Intelligence and Machine Learning
    Aix-Marseille University
    2020
    Le parcours Intelligence Artificielle et Apprentissage Automatique (IAAA) introduit les avancées les plus récentes en intelligence artificielle et forme à l’exploitation des méthodes et techniques associées dans des applications innovantes. Les thèmes abordés sont l’apprentissage automatique (machine learning), l’apprentissage profond (deep learning), le traitement automatique du langage naturel (NLP), la modélisation et de la résolution de problèmes à base de contraintes, et la représentation et le traitement des connaissances. Ces thèmes s’inscrivent notamment dans le cadre de la science des données et de l’informatique fondamentale.

Skill set

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