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Marouanelmzr/README.md

Hi, I'm Marouane Elmozariahi

Computer Science Engineering Student at ENSAT

Artificial Intelligence & Machine Learning Research

I'm a Computer Science Engineering student with a strong interest in Artificial Intelligence, Machine Learning, and Deep Learning. My work focuses on designing intelligent systems that combine rigorous experimentation with practical software engineering.

I enjoy exploring how modern AI models can solve real-world problems, particularly in Computer Vision, Natural Language Processing, and Generative AI. Alongside research, I build full-stack applications that integrate machine learning models into scalable and user-friendly products.

Current Interests

  • Artificial Intelligence
  • Machine Learning & Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Generative AI
  • Full-Stack AI Applications
  • Cloud Computing

Currently Working On

  • Deep Learning research and experimentation using PyTorch
  • AI-powered web applications
  • Model optimization and evaluation
  • End-to-end machine learning pipelines
  • Cloud deployment of AI solutions

Tech Stack

AI & Machine Learning

Python • PyTorch • NumPy • Pandas • Scikit-learn • OpenCV • wandb • ONNYX

Software Development

JavaScript • TypeScript • React • Vue.js • Node.js • Fast API • Express • PostgreSQL • Prisma • Git

Connect With Me

Passionate about building intelligent systems through research, experimentation, and engineering.

Pinned Loading

  1. multitask-skill-domain-extraction multitask-skill-domain-extraction Public

    Multi-task NLP system (shared XLM-RoBERTa encoder) for joint technology NER and multi-label domain classification from bilingual project descriptions. Trained end-to-end, deployed via ONNX + FastAPI.

    Jupyter Notebook

  2. Food101_MultiClassification Food101_MultiClassification Public

    Jupyter Notebook 1