Onur Yilmaz

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.
Onur Yilmaz

Posts by Onur Yilmaz

Technical Walkthrough 26 Oct 04, 2022

Optimizing Fraud Detection in Financial Services with Graph Neural Networks and NVIDIA GPUs

Fraud is a major problem for many financial services firms, costing billions of dollars each year, according to a recent Federal Trade Commission report.... 22 MIN READ