Master's Student in Software Engineering (M2 GL) | AI Researcher | Full-Stack Developer
Bridging medical insight with software engineering to build intelligent, high-impact systems.
I am a Master's student at Université Ibn Khaldoun, Tiaret, specializing in Software Engineering. Following a two-year foundation in medical school, I transitioned into computer science to directly build the technological solutions shaping the future of healthcare.
My primary research and development focus lies at the intersection of MLOps, Edge AI, and Biomedical Computing—specifically optimizing neural architectures for early neurodegenerative disease detection.
- 🔬 Current Focus: Lightweight Deep Learning (CNN-ViT hybrid architectures) & AI model optimization (ONNX Runtime) for medical imaging.
- 🌱 Learning: Deepening my skills in MLOps, Cloud Engineering, React Native, and Web3/Blockchain ecosystems.
- 📚 Algorithms: Actively sharpening my problem-solving skills via LeetCode & competitive programming (Python/JS).
- 💬 Ask me about: Java/Laravel architectures, medical AI applications, model optimization, or setting up automated local development workflows.
- 🧠 Thesis Work: Architecting lightweight hybrid CNN-ViT models optimized for early Alzheimer’s disease classification using neuroimaging data.
- 🌐 AI Ecosystems: Creating interactive tools and developer frameworks to bridge the gap between complex research and accessible, local deployment.
- 🛡️ Systems & Security: Exploring distributed systems, containerization, and robust backend architectures to safely host biomedical applications.


