Mazen ElFayoumi is an AI Engineer and Data Scientist specializing in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered applications. He holds a Bachelor’s degree in Computer Science (Artificial Intelligence Science Program) from Galala University, Egypt.
His professional work at Brainzx.ai includes developing AI-driven solutions for healthcare, finance, and education. He led the creation of Thoth, the first AI-powered LMS in Egypt, integrating LLMs for personalized learning. He has also built intelligent medical diagnostic chatbots, stock market prediction systems, and explainable AI models for diabetes risk assessment using transformers and RAG architectures.
Mazen’s research contributions include work on knowledge-augmented LLMs for diabetes prediction, AI-driven stock market recommendation systems, and hybrid models for Arabic fake news detection. His expertise spans deep learning, NLP, explainable AI, and optimization algorithms, with proficiency in Python, TypeScript, JavaScript, TensorFlow, Hugging Face, LangChain, and Flask.
Fluent in Arabic, English, and French, Mazen is passionate about building transparent, impactful AI systems that bridge advanced research with real-world applications.
Education
Galala University – B.Sc. in Computer Science (Artificial Intelligence Science Program)
2021 – 2025
Collège des Frères (Bab al-Louq), Cairo – High School, Mathematics Track
2006 – 2021
Publications
- Knowledge-Augmented LLM-Based Chatbot for Explainable Diabetes Mellitus Prediction (IMCOM 2025)
Search for Mazen ElFayoumi's papers on the Publications page