Final-year AI & Data Science Engineering student at ENSIA (National Higher School of Artificial Intelligence). Researching epistemic uncertainty estimation, optimizer design, and deep learning architectures. Author of QPNN-v2 — a quantum-inspired uncertainty model achieving ~70% parameter reduction over Deep Ensembles. Currently developing MoQAdam, a distributed PyTorch optimizer for large-scale training. Open to research collaborations, internships, and challenging engineering projects.
Featured Work
Real-world projects where I tackled technical challenges and delivered measurable results.
Production-grade microservices document management system with AI-powered translation, Kafka event processing, and Kubernetes deployment.
Multilingual AI platform for drug addiction awareness & recovery in Algeria. RAG + MarBERT intent classification, crisis intervention, web + mobile apps.
Tokenized Reward & Credential System with ERC-20 rewards, NFT-based verifiable credentials, MetaMask wallet auth, and IPFS storage.
Cross-platform admin mobile app for El Basma Boutique. Manages products, orders, customers in real-time with multilingual support and AI tools.
Quantum-inspired architecture for epistemic uncertainty estimation. ~70% parameter reduction over Deep Ensembles with formal guarantees. Published as an arXiv preprint.
Distributed PyTorch optimizer for memory-constrained large-scale training. Combines variance-normalized quantization, SNR-gated residual feedback, and decoupled moment updates.
For Everyone
New to tech? Here's what these terms mean in plain English.
Teaching computers to learn from data and make decisions, like how you learn from experience. Think: Netflix recommendations or voice assistants.
Retrieval-Augmented Generation: AI that searches for relevant information before answering, making responses more accurate and reliable.
Teaching computers to understand and work with human language. Examples: translation apps, chatbots, or text summarization.
The "behind-the-scenes" part of websites and apps. It handles data storage, security, and business logic that users don't see.
Building both the visible part (frontend) and behind-the-scenes (backend) of websites and apps. A full-stack developer does it all.
Solving coding challenges under time pressure. Like a sport for programmers, testing problem-solving skills and algorithm knowledge.
Still confused about something? I'm happy to explain!
Ask Me AnythingProgression of work, from current roles to earlier positions
Academic background and qualifications
Conferences, competitions, and community involvement
Attended sessions on applied AI and emerging technologies research.
Solved real-world industry problems for Yassir & Société Générale. Predictive modeling and insight presentation under time constraints.
ENSIA Tech Community competitive programming hackathon. Solved algorithmic problems under time pressure in a team setting.
Designed a mobile app prototype for BMS company. Rapid prototyping, design thinking, and pitching to a technical jury.
COVID-19 prevention prototyping — ENSIA & IPSIL Laboratory (ENP-Oran), December 2021. Functional prototypes in an interdisciplinary team.
Communication abilities across multiple languages
Professional credentials, certifications, and event participations arranged by impact
Industry-recognized certifications and professional credentials
Workshops, conferences, competitions, and major events attended
Completed online courses and self-directed learning accomplishments
More courses to showcase coming soon.
Research collaborations, internship opportunities, or just geeking out about NLP — I'm all ears. Prefer email or scheduled calls for serious inquiries.