
- ๐ 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.
- ๐ Masterโs in Computer Science (DataScale โ Big Data) from Universitรฉ Paris-Saclay.
- ๐ State Engineer + Masterโs in Information Systems Engineering & Management from รcole Nationale Polytechnique dโOran (ENPO).
- ๐ผ Former AI Research Intern at EDF R&D Lab, working on LLM-guided Knowledge Graph Generation and Neuro-Symbolic AI.
- ๐ผ Former Software & AI Engineer at OwlStack, building scalable apps and AI-powered chatbots.
- ๐ Passionate about AI Research, Full-Stack Development, and Data Engineering, with strong foundations in designing innovative solutions.
- ๐ ๏ธ Proficient in Python, TypeScript, Java, SQL, and modern AI frameworks.
- ๐ซ Reach me at [email protected].
- ๐ 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).
๐ Thanks for visiting my profile! ๐