About me

I'm Electronic intelligent Systems and Machine Learning Engineering from ENETCOM , SFAX-Tunis, working in Machine Learning and Software development.
I'm passion for AI, web, and mobile development. Proficient in deep learning, JavaScript frameworks, and Flutter.
My job is to build your Machine Learning Applications and website so that it is functional and user-friendly but at the same time attractive.
I am a results-driven and detail-oriented engineer seeking to contribute to innovative projects and delivering efficient and scalable solutions.

What i'm doing

  • Machine Learning icon

    Machine Learning Applications

    I develop Machine Learning Applications that are functional and user-friendly but at the same time attractive.

  • Web development icon

    Web development

    I create modern and responsive websites using the latest technologies and frameworks.

  • mobile app icon

    Mobile apps

    I develop mobile applications using Flutter, ensuring a seamless user experience across platforms.

Resume

Education

  1. National School of Electronics and Telecommunications of Sfax

    2020 - 2023

    National Diploma in Electronic Systems and Communication Engineering
    Specialization in Intelligent Electronic Systems

  2. Sfax Higher Institute of Computer Science and Multimedia

    2021 – 2024

    Master’s Degree in Data Science

  3. Sfax Higher Institute of Biotechnology

    2017 — 2020

    License Degree in Biomedical Engineering

Experience

  1. Data Science Engineer in Smart Logger

    Jan 2024 – March 2025

    I designed and optimized several artificial intelligence models for object detection, angle correction, and vital parameter estimation, integrated into web and mobile applications. I developed robust backends with Flask, implemented real-time interfaces, and automated sensitive data extraction, while ensuring performance and interactivity of the deployed solutions.

  2. Backend Laravel Engineer in Vaerdia Software

    Nov 2023 – Jan 2024

    Designed and implemented backend functionality for the KPI project, including folder management, reference tracking, process timing, and statistical data handling. Developed a fast report generation feature to analyze incoming file counts, and integrated Excel data validation by cross-referencing inputs with a predefined template, displaying error messages for inconsistencies.

My skills

  • Machine Learning: Generative Learning | Computer Vision | NLP
    Web Development: Angular | React JS | Laravel | Django | Flask | FastAPI | Java
    Mobile Development: Flutter | React Native | Android Studio
    Electronic Cards and protocols: Arduino | Raspberry | STM32 | ESP32

Contact

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