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Hadjer Benmeziane

Hadjer Benmeziane

Participation (ML Developer)

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location of Hadjer BenmezianeAlgeria

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  • Timeline

  • About me

    PhD in AutoML || Founder of School of AI Algiers || IBM Research Scientist

  • Education

    • IBM Research

      -
      Intern

    • Lycée Hassiba Ben Bouali

      2012 - 2015
      Baccalauréat Scientifique Excellence

    • Udacity

      2019 - 2019
      Deep learning Nanodegree with PyTorch Artificial Intelligence

    • Higher School of Computer Science

      2015 - 2020
      Engineer in Computer Science Computer Science

  • Experience

    • Hajj Hackathon

      Aug 2018 - Aug 2018
      Participation (ML Developer)

      I had the honor to participate to the biggest hackathon in the World with an amazing team. My job was to develop a recommandation system and our team got selected among the 90 first teams.

    • School of AI Algiers

      Aug 2018 - Oct 2020
      Dean

      School of Ai - Algiers is a local group of Ai wizards that teaches about Ai technology and shares ideas and techniques. From just a few people getting together to understand a concept, to large gatherings with tech talks, we do our best to offer AI education to anyone free.

    • GDG Algiers

      Sept 2018 - Oct 2020

      • Co Organizer

        Jan 2019 - Oct 2020

      • Co Manager

        Sept 2018 - Jul 2019

    • NAFTAL SPA

      Sept 2018 - Sept 2018
      Internship

      Make the migration of Zabbix from 2.0 to 3.4 a network supervision software and create some scripts to facilitate its implementation.

    • School of AI

      Feb 2019 - Jan 2022
      Head Dean of School of AI North Africa

    • Massachusetts Institute of Technology

      Sept 2019 - Jul 2020
      Remote Intern : Final year Project

      Contribution to the CSAIL MIT project : "Tiramisu". Tiramisu is a compiler for expressing fast and portable data-parallel computations. It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning and image processing.

    • LAMIH UMR CNRS 8201

      Oct 2020 - Feb 2024
      PhD Student - Efficient Methods For Deep Learning on Multiple Hardware Platforms

      The future will be populated with DL-based applications deployed into resource-limited hardware platforms. My goal is to study how to make deep learning algorithms efficient in those tiny platforms starting from analyzing Hardware-aware Neural Architecture Search strategies. This PhD is supervised by S.Niar (UPHF), H.Ouarnoughi (UPHF), K.El-Maghraoui (IBM Watson USA)

    • IBM

      Mar 2022 - Jul 2022
      In-memory Computing Research Intern

    • IBM Research

      Sept 2023 - Oct 2024
      In-memory Computing Research Intern

    • IBM

      Jul 2024 - now
      IBM Research Scientist

  • Licenses & Certifications