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Julien LeJL

Julien Le

Ingénieur Machine Learning

€200/day
Paris, FR
3-7 years

Average response time: 1 hour

About Julien

Curious Machine Learning Engineer with 2+ years of experience in research and development of deep neural algorithms especially in computer vision. Obtain hands-on experience in training, evaluation and deployment of Deep Learning models through various frameworks. Possess strong interest in Artificial Intelligence with comprehensive knowledge of Machine Learning concepts and related domains. Desire to become an expert in Machine Learning Engineering.
  • French

    Fluent

  • English

    Fluent

  • Vietnamese

    Native or bilingual

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

Experience

  • DRONE VOLT
    Artificial Intelligence R&D Engineer
    December 2020 - Today (5 years and 6 months)
    Villepinte, France

    - Researched for deep learning techniques applied to video/image processing solution. Designed lean proofs of concepts. Applied existing methods or developed new methods.
    - Designed, trained and evaluated deep learning models. Maintained database and model life-circle for continuous delivery to meet feedbacks of clients.
    - Optimised trained model to be deployed in real-time applications in embedded system.
    - Worked with software engineers to deploy trained model in desktop application (window, linux) and in cloud-based web service.
    - Projects: Camera-based fire and smoke detection, Real-time license plate detection and recognition, Crowd counting, Ship parking management based on videos recorded by drone
  • DRONE VOLT
    Research Intern
    June 2020 - November 2020 (5 months)
    Villepinte, France
    Subject: "Video-based traffic analysis"
    - Evaluate the current version of vehicle detection system based on a neural network
    - Offer additional functionalities: vehicle classification, object tracking, traffic related statistics extraction
    - Perform a full test on drones
  • DFM-Europe
    Engineer Intern
    June 2019 - September 2019 (3 months)
    France
    Subject: "Fire alarm system controlled by Artificial Intelligence"
    - Build the fire alarm module by processing frames from cameras using classification algorithm
    - Build the people counter module using object detection algorithm Tools: Convolution Neural Network, Python, Keras API, OpenCV

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Education

  • Master's degree, Embedded Computing
    ISAE-ENSMA
    2020
    Master's degree, Embedded Computing
  • Engineer's degree, Information Technology and Avionics
    ISAE-ENSMA
    2020
    Engineer's degree, Information Technology and Avionics

Skill set (13)

Categories