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mohamed-stifi/README.md

Mohamed STIFI

📧 [email protected] | 📞 +212652715288 | 🌐 LinkedIn | 💻 GitHub

Passionate about Machine Learning, Deep Learning, Computer Vision, Applied Artificial Intelligence, Data Science, and MLOps. Currently pursuing a degree in Artificial Intelligence Engineering at ENSIAS.

Education

  • National Higher School of Computer Science and Systems Analysis (ENSIAS)
    Sep 2023 – Present
    Engineering Student in Artificial Intelligence

  • Faculty of Sciences Iben Zoher (UIZ)
    Oct 2020 – Jun 2023
    Bachelor’s Degree in Mathematics and Applications (SMA)

  • High School El Majd
    Sep 2019 – Jul 2020
    Baccalaureate in Science, Mathematics-A

Projects

Development of an Arabic Question Answering System with Large Language Models

Mar 2024 – Jun 2024

  • Developed an Arabic QA system using web-scraped data, fine-tuned large language models (LLMs) with Hugging Face, and deployed the system using Django.

Implementation of Optimization Methods and Application on Portfolio Optimization Problem

Dec 2023 – Jan 2024

  • Developed a Python package for various first-order and second-order optimization methods and visualization techniques. Applied these methods to create mathematical models for portfolio optimization, focusing on balancing risk and returns.

Distributed Machine Learning Training for Large Models and Datasets

Dec 2024 – Jan 2025

  • Implemented and evaluated distributed training methods (data and model parallelism) on six ML models, achieving significant reductions in training time while maintaining performance.

Developing a Smart Gallery with AI Integration Using MLOps Concepts

Feb 2025 – Present

  • Developed a mobile gallery app leveraging AI for advanced features such as text/speech-based image search and automatic image categorization. Implemented MLOps practices for seamless AI model integration, deployment, and monitoring.

Experience

Development of a Text-Guided 3D Shape Generator Using GANs

Jun 2024 – Aug 2024

  • Developed a text-guided 3D shape generator using GANs during an internship at 3D Smart Factory. Implemented the GET3D architecture to create high-quality textured 3D models from textual descriptions. Improved the scalability and efficiency of 3D content creation.

Technical Skills

  • Languages: Python, Java, C/C++, Flutter, SQL, PL/SQL, CUDA
  • Technologies & Tools: Django, PyTorch, Scrapy, NumPy, Pandas, Matplotlib, Arduino, Raspberry Pi, Docker, Kafka, Airflow, Flask, Scikit-learn
  • Concepts: Machine/Deep Learning Theory/Application, OOP, Algorithm Design, Numerical Analysis, MLOps, IoT, Optimization Methods, Statistical Inference, Scraping

Certifications

  • DataCamp Certifications

    • Completed over 12 certifications in Python, machine learning, data science, MLOps, and DevOps.

  • AutoML - Automated Machine Learning

    • Explored automated machine learning techniques for model selection, hyperparameter optimization, neural architecture search, Bayesian optimization, and multi-fidelity techniques to design efficient ML pipelines and improve model performance.

Languages

  • Amazighe (Moroccan Standard): Native proficiency
  • Arabic: Native proficiency
  • English: Intermediate proficiency (B1)

📄 Mohamed Stifi

Pinned Loading

  1. Distributed-AI-Powered-IoT-System-for-Surveillance-and-Behavior-Detection Distributed-AI-Powered-IoT-System-for-Surveillance-and-Behavior-Detection Public

    Forked from MoroccoAI/2024-InnovAI-Hackathon

    As part of the annual MoroccoAI Annual Conference 2024, this hackathon is set under the theme “Driving the Future of Innovation Through AI”.

    Python 4 1

  2. text-to-3D_Model_Generation text-to-3D_Model_Generation Public

    Python 4

  3. Flask-ML-Deployment Flask-ML-Deployment Public

    HTML 1

  4. Distributed-Master-Worker-Server Distributed-Master-Worker-Server Public

    Python

  5. Distributed-Training-Methods-for-Large-Models-and-Datasets Distributed-Training-Methods-for-Large-Models-and-Datasets Public

    This repository explores distributed training methods for large-scale machine learning models and datasets. It includes experiments on six models using both single-GPU and multi-GPU setups. The rep…

    Jupyter Notebook

  6. IoHT-data-Analyses IoHT-data-Analyses Public

    Jupyter Notebook 2 1