SentimentScope
An end-to-end NLP pipeline for Arabic and French sentiment analysis. Fine-tuned a transformer model on Algerian dialect data, achieving state-of-the-art accuracy on regional text classification benchmarks.
Computer Science Student / AI
Building intelligent systems at the intersection of machine learning, natural language processing, and scalable software — one model at a time.
I'm Achouri Aissa, a Computer Science student specializing in Artificial Intelligence at the University of 8 Mai 1945 Guelma, Algeria. I'm passionate about the science behind intelligent machines and how AI can reshape the world.
My work spans machine learning model development, natural language processing, backend engineering, and cybersecurity. I believe the most powerful technology is born at the intersection of rigorous theory and elegant implementation.
When I'm not training models, I'm exploring the depths of Linux systems, designing robust backend architectures, and contributing to open-source projects.
An end-to-end NLP pipeline for Arabic and French sentiment analysis. Fine-tuned a transformer model on Algerian dialect data, achieving state-of-the-art accuracy on regional text classification benchmarks.
A Laravel project built while learning modern PHP backend development. Qistas focuses on delivering a clean, practical web experience with structured routing, reusable Blade views, database-driven features, and a live preview available at qistas.app. Developed locally in a Laragon environment and published for real-world testing.
A visual experiment tracking dashboard for ML projects. Displays training metrics, model comparisons, hyperparameter logs, and dataset versioning. Integrates with scikit-learn and PyTorch pipelines out-of-the-box.
A lightweight, extensible network reconnaissance tool written in C and Python. Performs port scanning, service fingerprinting, and vulnerability detection. Designed for ethical penetration testing environments.
University of 8 Mai 1945 Guelma — Algeria
Specialization in Artificial Intelligence. Core coursework covers machine learning theory, deep learning architectures, computer vision, natural language processing, algorithm design, operating systems, and software engineering principles.
Coursera · DeepLearning.AI · AWS Training · Hack The Box
Continuously expanding expertise through structured online programs in deep learning, cloud computing with AWS, ethical hacking, and advanced Python for data science.
I'm always open to interesting conversations, collaboration opportunities, and challenging projects in AI and software development.