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Martin LabéML

Martin Labé

Data Scientist | Python Developer

€400/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Martin

Specializing in artificial intelligence, my name is Martin, a computer engineer who enjoys bringing creative and high-performing solutions to your technical challenges. With rigorous training at EPITA, I have developed solid expertise in software development, data processing, and machine learning, which I have been practicing for 1 year now.

- Data scientist / machine learning engineer:
. - Database prospecting / scrapping
. - Development of specific / state-of-the-art algorithms
. - Implementation of models, training, optimization
. - Development of dedicated visualization interfaces

- Software engineer / Python Developer:
. - API development
. - Data pipeline creation
. - Development of environments and modules

I mainly use:
- AI/ML: Tensorflow, PyTorch, Scikit-learn, Ray, RLlib, Gym
- Data processing: Pandas, Numpy, eccodes, Numba
- Visualization: Bokeh, matplotlib

Constantly seeking new ways to use technology to solve complex problems, I am known for my ability to learn quickly, my autonomy, my rigor, and my interpersonal skills. I also have some knowledge in physics-chemistry and in specific data for meteorology and climate sciences.

If you are looking for a technical partner capable of transforming your challenges into innovative solutions, do not hesitate to contact me. I am ready to contribute to the success of your projects!
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Basic

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

Experience

  • Thales
    Intern in Deep Reinforcement Learning
    February 2022 - July 2022 (5 months)
    94150 Rungis, France
    Green Aviation Project:
    • Development of an airspace visualization interface with aircraft flight data and meteorological data
    • Implementation of a meteorology module capable of predicting the appearance of contrails behind aircraft and their climatic impact
    • Implementation of state-of-the-art reinforcement learning methods, neural network design, training, testing, evaluation, and improvement
    • Optimization of trajectories given by air traffic control to aircraft in case of conflict based on safety, consumption, and ecological impact criteria
  • LIRMM
    Internship in 3D Sonar Vision for Underwater Exploration Robotics
    September 2020 - January 2021 (4 months)
    Montpellier, France

    • Development of a generic framework for sonar data: acquisition, filtering, processing, and real-time 3D reconstruction
    • Development of a matrix calculation library for spatial transformations and their uncertainties for simultaneous mapping and localization (SLAM)
  • LSE - EPITA Systems Laboratory
    Member of the Exploration Robotics Laboratory
    December 2019 - January 2021 (1 year and 1 month)

    • Acquisition of synchronized images with a Raspberry Pi (Raspicam, Omxcam)
    • Image processing and distortion calculation
    • 3D object and environment reconstruction from images (MicMac, Meshlab)
    • Creation and training of a neural network for detecting checkerboards in underwater images (YOLO)

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Education

  • Computer Engineering Degree
    EPITA: Engineering School in Computer Science
    2022
    Spécialisation en Data Science
  • Officer Cadet
    Air Force Academy
    2019
    Intégration militaire

Certifications

Skill set

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