Sid Ahmed BENMANSOUR

Sid Ahmed BENMANSOUR

Machine Learning Researcher intern / Deep learning approaches for quality of services prediction

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location of Sid Ahmed BENMANSOURPuteaux, Île-de-France, France

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  • Timeline

  • About me

    Machine Learning & Computer Vision Engineer

  • Education

    • Université de Reims Champagne-Ardenne

      2022 - 2023
      Master of Business Administration - MBA
    • Université de Technologie de Compiègne (UTC)

      2021 - 2022
      Master Apprentissage et optimisation des systèmes complexes
    • Abou Bekr Belkaid University of Tlemcen

      2015 - 2018
      Licence Mathematics and Computer Science

      Bachelor thesis: Creation of a web application for a delivery service of ready meals

    • Abou Bekr Belkaid University of Tlemcen

      2018 - 2020
      Master's degree Artificial Intelligence
  • Experience

    • Université Abou Bekr Belkaid -Tlemcen

      Jan 2020 - Jan 2020
      Machine Learning Researcher intern / Deep learning approaches for quality of services prediction

      Improved quality of service prediction score by implementing a new neural network architecture using GANs (generative adversarial networks) and auto-encoders with two different alternatives using Keras and TensorFlow with Python.

    • Beka imprimerie

      Oct 2020 - Jan 2021
      Graphic Designer

      • Work as a graphic designer, mainly designing labels and packaging for professionals.• Advise, help, process customer requests and provide them with solutions tailored to their needs.• Works with more than 20 clients. Promote high customer satisfaction.

    • Renault Group

      Sept 2021 - Jan 2022
      Machine Learning / Computer Vision Engineer

      University project in collaboration with Renault Project name: Precise detection of actors in a stake area for the autonomous car.• Implementation (in C++) of a data processing allowing the detection, the classification of each actor of the scene, as well as their inter-distance, • Carried the sensor implantation and the extrinsic calibration• Conducted state of the art of multi-modal machine learning methods using Lidar and camera for object detection

    • Aequil Living

      Jan 2022 - Jan 2022
      Machine Learning Engineer

      • Understand business objectives and develop a solution that help to achieve them, along with metrics to track their progress.• Analyze existing algorithms used to solve the given problem and rank them by their success probability.• Implement a signal recognition algorithm (inspired from Shazam fingerprint algorithm) and tune the hyperparameters.

    • Automaton

      Oct 2022 - now
      Machine Learning & Computer Vision Engineer

      • Trained and deployed deep learning models• Developed software solutions that include deep learning models to answer client needs using Python and Fast API• Managed code, reviewed code, and implemented good software engineering practices for deployment and CI/CD• Optimized application performance and security• Formulated and planned AI projects•Established data collection and annotation processes• Documented processes• Contributions have resulted in the creation, enhancement, and maintenance of our solutions, as well as successful contract signings and integration of the solutions for clients Voir moins

  • Licenses & Certifications

    • Certified Android Developer Track

      Udacity
      Aug 2018
    • Intro to TensorFlow for DeepLearning

      Udacity
      Apr 2020
    • Convolutional Neural Networks in TensorFlow

      DeepLearning.AI
      Feb 2024
    • TOEIC (CEFR Level : B2)

      ETS Global
      Feb 2023
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      DeepLearning.AI
      Dec 2023
  • Volunteer Experience

    • TEDx Organizer

      Issued by TED Conferences on Oct 2020
      TED ConferencesAssociated with Sid Ahmed BENMANSOUR