Artificial Intelligence & Machine Learning
Core academic discipline at ENSTA. Studying supervised and unsupervised learning, neural networks, and AI application development.
Student & Aspiring Developer
Artificial Intelligence and Applications Student
at ENSTA, Algeria
I study at the National Higher School of Advanced Technologies (ENSTA) in Algeria, where I explore artificial intelligence, machine learning, web development, Cybersecurity foundations, and blockchain. I enjoy building practical software and learning by doing.
ENSTA ’23
I am an Artificial Intelligence and Applications student at the National Higher School of Advanced Technologies (ENSTA) in Algeria, currently in the third year of a five-year programme (2023–2028). I am interested in how artificial intelligence and software development can be used to create tools and products that solve real problems.
My academic journey has introduced me to machine learning, Cybersecurity foundations and blockchain, web development, and mobile development. Alongside my studies, I have been building practical experience through a completed e-learning project, a professional internship, and volunteer work in academic event organisation.
I aim to deepen my technical skills and work on meaningful projects as I continue to grow as a developer. I am open to internship opportunities, collaborative projects, and connections with other developers and researchers.
ENSTA — Algeria
Engineering Degree • Artificial Intelligence & Applications (Speciality Cycle)
Specialized engineering curriculum dedicated to artificial intelligence models, machine learning, deep neural networks, Cybersecurity foundations, blockchain architectures, and full-stack software systems development.
Key coursework & focus areas
ENSTA — Algeria
Integrated Preparatory Cycle (Classes Préparatoires Intégrées) • 2 Years
Intensive 2-year multidisciplinary preparatory program combining advanced mathematics, physical sciences, computer science algorithms, and programming foundations, culminating in the capstone graduation project (Prepanova / CourSpace).
Key coursework & foundational study
The categories below reflect my academic interests and current areas of study. They do not imply professional mastery.
Core academic discipline at ENSTA. Studying supervised and unsupervised learning, neural networks, and AI application development.
Building web interfaces and mobile applications. Hands-on practice with HTML, CSS, and JavaScript, with coursework covering mobile development frameworks.
Understanding how to interpret and analyse data using statistical methods. Applied in AI and machine learning contexts as part of my programme at ENSTA.
Studying network architectures, protocols, and security principles. Exploring how systems communicate and how to protect them against threats.
Learning relational and non-relational database design, SQL, and data modelling. Applied in projects and academic coursework at ENSTA.
Studying cryptographic principles, hash functions, digital signatures, and distributed ledger technologies. An active area of interest tied to my academic programme.
Strong focus on algorithmic thinking, data structures, and problem-solving. Applying these skills through coursework, projects, and independent practice.
Projects I have built or contributed to.
Algerian Courses App
CourSpace (Course Space) is an Algerian e-learning mobile application developed as my final graduation project completing the 2-year preparatory cycle (Projet de Fin d'Études de Prépa — Prepanova) at ENSTA.
Conceived to eliminate fragmented searches across disparate platforms, CourSpace operates as an all-in-one learning map for Algerian students. It centralizes top online and in-person courses, curated programming tracks, and interactive roadmaps into a unified, user-friendly mobile experience.
Completed my 3rd year (6th semester) internship at Algérie Télécom as part of my Artificial Intelligence and Applications programme at ENSTA.
Volunteered as a member of the organizing committee for the first edition of the National Conference of Applied Sciences and Engineering (NCASE’24), organized by the Applied Sciences Laboratory (LSA) at ENSTA.
Open to internship opportunities, collaboration, and conversations with other developers and researchers.
You can reach me using the form on the right, or directly by email. I read every message and respond as quickly as I can.