Ahmed Sghir

Computer Vision Engineer at Pixelvision
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Contact Information
us****@****om
(386) 825-5501
Location
TN

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Credentials

  • Data Science for Everyone
    DataCamp
    May, 2020
    - Nov, 2024
  • Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
    Udemy
    May, 2020
    - Nov, 2024
  • Python
    DataCamp
    May, 2020
    - Nov, 2024
  • Python3
    SkillValue
    Jan, 2020
    - Nov, 2024
  • Sequence Models
    Coursera Course Certificates
    Apr, 2019
    - Nov, 2024
  • Spécialisation Deep Learning
    Coursera
    Apr, 2019
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera Course Certificates
    Mar, 2019
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera Course Certificates
    Mar, 2019
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera Course Certificates
    Mar, 2019
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera Course Certificates
    Mar, 2019
    - Nov, 2024

Experience

  • Pixelvision
    • Belgium
    • Software Development
    • 1 - 100 Employee
    • Computer Vision Engineer
      • Jun 2022 - Present

  • Phoenix Space
    • United Kingdom
    • Civic and Social Organizations
    • 1 - 100 Employee
    • Python Course Developer
      • Aug 2021 - Jun 2022

  • Trabotyx
    • Netherlands
    • Machinery Manufacturing
    • 1 - 100 Employee
    • Computer Vision & Deep Learning Freelancer
      • Dec 2020 - May 2021

      Develop a Computer Vision module for the Navigation of Agri-Robots in farms with different fields using Machine Learning Models. Develop a Computer Vision module for the Navigation of Agri-Robots in farms with different fields using Machine Learning Models.

  • Université Libre de Tunis (ULT)
    • Tunisia
    • Higher Education
    • 1 - 100 Employee
    • Independent Researcher
      • Feb 2020 - Aug 2020

      Application of Deep Learning methods for the detection and classification of medical imaging. - Preparation and Preprocessing of BRATS Data. - Segmentation of Brain Tumor Gliome using 3D U-Net. - Classification of Brain Tumor Gliome on two classes. - Execute on virtual rented machine in Vast.ai. Application of Deep Learning methods for the detection and classification of medical imaging. - Preparation and Preprocessing of BRATS Data. - Segmentation of Brain Tumor Gliome using 3D U-Net. - Classification of Brain Tumor Gliome on two classes. - Execute on virtual rented machine in Vast.ai.

  • SAGEMCOM
    • France
    • Telecommunications
    • 700 & Above Employee
    • Robotics Intern
      • Sep 2019 - Sep 2019

      Design, Modeling and Simulation of a robotic arm with 3 degrees of freedom to place Electronic components on PCB Boards. Design, Modeling and Simulation of a robotic arm with 3 degrees of freedom to place Electronic components on PCB Boards.

  • Société Tunisienne de l'Electricité et du Gaz (STEG)
    • Tunisia
    • Oil and Gas
    • 700 & Above Employee
    • Summer Intern
      • Aug 2019 - Aug 2019

Education

  • Ecole Nationale d’Ingénieurs de Carthage ENICarthage
    Research Master, Automation, Robotics and Information Processing
    2022 - 2023
  • Université Libre de Tunis (ULT)
    Engineer's degree, Mechatronics, Robotics, and Automation Engineering
    2017 - 2020
  • Ecole Polytechnique Méditerranéenne de Tunis
    Preparatoire MP, Mathématiques
    2015 - 2017

Community

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