Onur Yilmaz is a lead deep learning software engineer at NVIDIA. He has been with NVIDIA for almost six years and is one of the main engineers who contributed to the GPU-accelerated machine learning open source library, called RAPIDS cuML. He also contributed to Merlin, an open-source framework for building large-scale deep learning recommender systems. He is currently focusing on making graph neural networks training easy for data scientists, researchers, and engineers. Onur holds a Ph.D. in Computer Engineering from the New Jersey Institute of Technology. His dissertation focused on traditional machine learning and high-performance computing for finance.