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Abdalrhman Ayoub

Ai Engineer at New Mansoura University

Dakahlia, Egypt

Work Experience

  • Undergraduate Student ResearcherFull Time

    Faculty of Computer Science & Engineering - New Mansoura University

    Feb 2023 - Present -2 yrs, 6 months

    • Job Details:- Conducted research on Arabic abstractive text summarization using the Multilingual T5 model. Designed and implemented experiments to evaluate the model's effectiveness in generating high-quality Arabic summaries. - Conducted a comparative study on Arabic text summarization techniques, evaluating Word Frequency Analysis, K-Means Clustering, and the PageRank Algorithm.
  • Ai EngineerFreelance / Project

    New Mansoura University

    Sep 2021 - Present -3 yrs, 11 months

    Egypt , Dakahlia

    • Education

      • Bachelor's Degree in Artificial Intelligence Engineering

        NMU

        Jan 2026 

      Activities

      • Technology Director at NMU STUDENT UNION

        Volunteering

        Nov 2023 - Present -1 yr, 9 months

      • Secretary of Cultural & Media Committee at CSE Student Union - Faculty of Computer Science & Engineering - New Mansoura University

        Volunteering

        Nov 2022 - Present -2 yrs, 9 months

      • Head of Graphic Design Team at Student Union Initiative - New Mansoura University

        Volunteering

        Nov 2022 - Present -2 yrs, 9 months

      • Head of Programmers Committee at Innovators Club – New Mansoura University

        Volunteering

        Sep 2021 - Nov 2024 -3 yrs, 2 months

      Achievements

      I'm an AI Engineer and Researcher currently pursuing a Bachelor of Engineering in Artificial Intelligence at New Mansoura University. Ranked 4th among my peers with a 3.51 GPA, I've established myself as a dedicated researcher in the field of Natural Language Processing, specifically focusing on Arabic text summarization. My research has been published in prestigious IEEE conferences, including the 2024 International Conference on Computing and Informatics (ICCI) and the 2024 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC). I specialize in deep learning techniques, particularly with the Multilingual T5 model for Arabic NLP tasks. Beyond academia, I've developed practical AI solutions, including an Egyptian dialect Arabic speech recognition system, AGRIBOT for plant disease detection, and a brain tumor detection model with 90% accuracy.

      Skills

      • Technology
      • Artificial Intelligence Engineering
      • Computer Science
      • Engineering
      • NumPy
      • Pandas
      • Microsoft Visual Studio code
      • Github
      • Arduino
      • Programming
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      Languages

      • Arabic

        Fluent
      • English

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