Hayder Maamri

AI & Computer Vision Student

Passionate about building AI systems with focus on computer vision, machine learning, and practical applications.

Hands-on Experience in AI Projects
Strong Focus on Learning & Growth
Active in Research and Development
Hayder Maamri

About Me

I'm a dedicated student with a strong passion for technology, including computer vision, machine learning, and system development. My approach blends theoretical learning with hands-on projects to develop practical, real-world skills in AI and software engineering.

With experience across various projects ranging from data collection to model deployment I focus on building systems that are both technically robust and practically applicable in different domains, including robotics and AI-driven applications.

Currently, I'm exploring computer vision applications, optimizing models for real-world performance, and gaining a deeper understanding of the complete lifecycle of AI systems.

Education & Background

Lycée Secondaire De Jammel Computer Science

  • Self-taught AI/ML concepts through independent study and project work
  • Developed multiple AI applications as learning projects
  • Maintained strong academic performance
Download CV

Technical Skills

Machine Learning

  • Deep Learning Fundamentals
  • Model Training & Evaluation
  • Transfer Learning
  • Basic Model Deployment

Computer Vision

  • OpenCV
  • Image Processing
  • Object Detection
  • Feature Extraction

Frameworks

  • PyTorch
  • TensorFlow/Keras
  • Hugging Face
  • YOLO

Languages

  • Python
  • JavaScript
  • Arduino
  • HTML/CSS

Development

  • Git
  • Debugging
  • Testing
  • Documentation

Systems

  • Basic API Design
  • ROS
  • Linux Environment
  • Basic Cloud Concepts

Productivity

  • VS Code
  • Jupyter Notebook
  • Notion
  • Google Colab

Dev Tools

  • GitHub
  • Docker (Basic)
  • Postman
  • Linux CLI

Collaboration

  • Slack/Discord
  • Zoom
  • Technical Presentations
  • Project Documentation

Projects

Object Tracking System

Created a Python program using OpenCV that identifies and follows objects in video streams in real-time with adjustable detection parameters.

Works with webcam or video files
Handles multiple objects simultaneously
Customizable detection thresholds
OpenCV Python Multi-threading

Autonomous Navigation Simulation

Developed a computer vision system for path finding and obstacle avoidance in simulated environments with high accuracy.

95% navigation accuracy in tests
Real-time processing capability
Dynamic obstacle avoidance
OpenCV Python ROS Gazebo

Sylvapaws Animal Rescue Platform

Full-stack web application connecting animal rescuers with pets in need through location-based matching and comprehensive profiles.

RESTful API backend
Secure JWT authentication
Interactive location mapping
Flask SQLAlchemy Bootstrap JWT JavaScript

Research & Learning

Autonomous Drone Simulation for Precision Agriculture

In Progress

Simulating autonomous drone navigation and multispectral imaging for real-time crop health monitoring using NDVI analysis in a controlled Gazebo environment.

ROS Gazebo Simulation NDVI Analysis OpenCV Python

Get In Touch

I'm currently focused on impactful projects feel free to reach out for research, job opportunities, internships, or collaborations