Software Engineering & Artificial Intelligence Student
École Nationale des Sciences Appliquées (ENSA), Fez
Specializing in intelligent systems and full-stack development

I am currently a second-year engineering student specializing in Software Engineering and Artificial Intelligence at ENSA Fez. My work focuses on designing and developing scalable web applications enhanced with data-driven and machine learning components.

I have a strong interest in recommender systems, computer vision, and intelligent systems, with practical experience in both full-stack development and applied AI.

Software Developer Intern — École Polytechnique des Génies (EPG)
July 2025 – August 2025

• Designed and developed a web application for training and course management
• Built using React, Laravel, and MySQL
• Focused on usability, data structuring, and system performance

• Full-stack e-commerce application integrating intelligent product recommendations
• Content-based filtering using TF-IDF and cosine similarity
• Customer segmentation using RFM analysis and K-Means clustering
• Backend APIs with Flask and PHP, database management with MySQL
• Focus on personalization, scalability, and user experience

Repository: https://github.com/FadwaErrami/wildlife-monitoring

• AI-based system for wildlife detection and monitoring
• Application of computer vision techniques for real-time analysis
• Designed for practical environmental monitoring use cases

Computer Vision & Deep Learning

• Implemented object detection models (YOLO, Faster R-CNN, DETR, EfficientDet)
• Developed classification systems for real-world image datasets
• Applied feature extraction and image processing using OpenCV

UrbanClean

• Real-time detection of unsanitary urban areas using deep learning (YOLO)
• Designed for smart city and environmental applications

Energy Consumption Prediction

• Built predictive models using Ridge, XGBoost, LightGBM, and LSTM
• Developed an interactive interface using Streamlit

Reinforcement Learning

• Implemented Q-Learning, SARSA, and Monte Carlo methods
• Applied to intelligent systems such as recommendation strategies

React, Angular, Node.js, Express, Laravel, Spring Boot
HTML, CSS, JavaScript

Python, Scikit-learn, TensorFlow, OpenCV
Pandas, NumPy, Matplotlib

MySQL, MongoDB
REST APIs, OAuth
AWS (fundamentals)
Networking fundamentals (Cisco, Active Directory)

• Computer Vision: object detection, classification, feature extraction
• Explainable AI concepts applied to vision models
• Machine Learning: regression, clustering, model evaluation
• Reinforcement Learning: policy-based and value-based methods

• Problem-solving and analytical thinking
• Ability to design and structure scalable systems
• Autonomy and adaptability in technical environments
• Team collaboration and project organization

• Arabic: Native
• English: Advanced (C1)
• French: Intermediate (B2)

• Email: mellak71khadija@gmail.com
• GitHub: https://github.com/1marieCurie
• LinkedIn: https://www.linkedin.com/in/khadija-mellak-090498287/

I aim to further develop my expertise in software engineering and artificial intelligence by contributing to technically challenging projects and real-world systems with measurable impact.