Anouar Nabil
Research Artificial Intelligence Systems Engineer
Anouar is a Research AI Systems Engineer specializing in cutting-edge Generative AI and NLP solutions, including text classification, sentiment analysis, question answering, Retrieval-Augmented Generation (RAG), autonomous agents, and large action models. He applies state-of-the-art techniques from academic research to solve real-world challenges, focusing on Large Language Models (LLMs) like GPT-3.5, GPT-4, LLaMA 2, LLaMA 3, and Mistral, as well as Visual-Language Models (VLMs).
Anouar manages a high-performance computing (HPC) cluster, optimizing performance for AI research and production workloads. His expertise includes designing, implementing, and deploying large-scale AI projects tailored to modern generative AI applications.
Anouar holds two Master’s degrees in Engineering specializing in Artificial Intelligence and is the sole alumnus from the inaugural cohort at TH Deggendorf to complete the master’s program in a record time of three semesters. His career reflects a strong dedication to advancing AI technologies through innovation, research, and the development of scalable infrastructure solutions.