- Final year AI & Data Science Student at ESTIN
- Web Developer (Front-End) | UI/UX Designer.
Final year AI & Data Science Engineer student at ESTIN, specialized in designing scalable, intelligent systems for complex real world challenges. From developing specialized medical software (BioStat-QC) to implementing advanced Deep Learning models for facial anti-spoofing and NLP, I bridge the gap between academic research and industrial application. Expert in Machine Learning, Computer Vision, and Reinforcement Learning, I am committed to engineering ethical AI solutions that prioritize both performance and reliability.
Main language for AI and Data Science. Experienced in Machine Learning, NLP, and Deep Learning projects.
Certified by IBM and Stanford (Supervised/Unsupervised Learning). Experienced with Scikit-learn and statistical modeling.
Associate Data Analyst (DataCamp Certified). Expert in data pipelines, SQL, NoSQL, and visualization (Talend, PostgreSQL).
Specialized in Computer Vision and Image Processing. Working on motion magnification and AI agents.
Building modern web applications using React, HTML5, and CSS3. Focused on creating responsive interfaces.
Designing intuitive user experiences and interfaces using Figma and Blender (3D assets).
Applied Cryptography (University of London certified) and network security. Organizer of Nexzero CTF.
Advanced version control for collaborative projects and open-source contributions.
Research Intern
Feb 2026 - Present
Data Analyst
Jun 2025 - Sep 2025
IT Intern
Jul 2024
Event Organizer & Technical Lead
Nov 2022 - 2024
ESTIN (Higher School of Computer Science)
Secondary School - Sétif
Developer | 2025 - 2026
A medical quality control web application that automates Westgard rules interpretation and generates real-time Levey-Jennings charts using Flask and Chart.js.
AI Developer | 2025
Implemented Q-Learning (from scratch) and Deep RL (Stable Baselines3) to train an autonomous vehicle to navigate highways and avoid obstacles in a SUMO environment.
Research Intern | 2026 - Present
Research project using Eulerian Video Magnification (EVM) to detect pulse and micro-motions for preventing facial recognition spoofing attacks.
Developer | 2025
Character-level language model built with PyTorch to learn and generate text in the style of specific authors using Recurrent Neural Networks (LSTM).
Software Engineer | 2022 - 2023
Comprehensive desktop application designed for school management, handling student records, grading, and administrative workflows.
Game Developer | 2022
Physics-based 3D game developed in Unity/C#, focusing on vector mathematics, rigid-body dynamics, and asset management via Blender.
In-depth study on data flow analysis in biochemistry labs, focusing on anomaly detection and quality control optimization.
Training autonomous agents for lane-changing decisions using Q-Learning and Deep RL (PPO) in simulated highway environments.
Research on preventing facial spoofing by using EVM to amplify micro-motions (pulse) to distinguish real humans from photos.
Observation and audit of network infrastructures, focusing on security protocols and system architecture.
Certification professionnelle : Nettoyage de données, SQL, Python et visualisation avec une approche business.
Maîtrise du NLP : Tokenisation, NER et modèles de classification de texte supervisés.
Algorithmes de régression, SVM et réseaux de neurones (Neural Networks).
Concepts fondamentaux de l’IA, Deep Learning et éthique algorithmique.
Sécurité de l’information : Chiffrement symétrique/asymétrique et signatures numériques.
Principes du design visuel et UX/UI appliqués aux projets techniques.