- 🎓 PhD Student in Artificial Intelligence at INSA Strasbourg, focusing on Explainable AI and Neuro-Symbolic Systems in the field of energy sustainability and battery safety.
- 🎓 Master’s in Computer Science (DataScale – Big Data) from Université Paris-Saclay.
- 🎓 State Engineer + Master’s in Information Systems Engineering & Management from École Nationale Polytechnique d’Oran (ENPO).
- 💼 Former AI Research Intern at EDF R&D Lab, working on LLM-guided Knowledge Graph Generation and Neuro-Symbolic AI.
- 💼 Former Software & AI Engineer at OwlStack, building scalable apps and AI-powered chatbots.
- 🌐 Passionate about AI Research, Full-Stack Development, and Data Engineering, with strong foundations in designing innovative solutions.
- 🛠️ Proficient in Python, TypeScript, Java, SQL, and modern AI frameworks.
- 📫 Reach me at [email protected].
- 🌍 Explore my work on my Portfolio.
- Built a scalable chatbot integrating LLMs with Retrieval-Augmented Generation (RAG).
- Microservices with FastAPI, PostgreSQL, Redis, Streamlit.
- Deployed with Docker & Kubernetes.
- End-to-end data pipeline to analyze Reddit sentiment on crypto markets.
- Includes data mining & NLP classification.
- Real-time audio summarization using Whisper + BERT + Streamlit.
- Intrusion detection system using AutoEncoders for anomaly detection.
- Improved classification with ensemble ML models (XGBoost, AdaBoost, LightGBM, Random Forest).
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