Gorkem Batmaz

Gorkem Batmaz is a Senior Data Scientist on the RAPIDS-CLX team at NVIDIA. His focus is on applying GPU accelerated high-performance analytics to solve cybersecurity challenges. He developed ML/NLP based predictive maintenance, phishing-DGA-Malware detection, asset classification and periodicity detection solutions that are open source. Prior to joining RAPIDS, Gorkem worked in the cybersecurity team for NVIDIA's autonomous cars division. Before joining NVIDIA in 2011, he worked at Motorola and Alcatel-Lucent. He holds an M.S. in Engineering&Technology Management and a B.S. in Electrical&Electronics Engineering from Bogazici University.

Posts by Gorkem Batmaz

Technical Walkthrough 1

Fingerprinting Every Network User and Asset with NVIDIA Morpheus

Use unsupervised AI and time series modeling to create microtargeted models for every user and machine/account combination running on your network. 9 MIN READ
Technical Walkthrough 0

Enabling Predictive Maintenance Using Root Cause Analysis, NLP, and NVIDIA Morpheus

The RAPIDS CLX team collaborated with the NVIDIA Enterprise Experience (NVEX) team to test and run a proof-of-concept (POC) to evaluate this NLP-based solution. 6 MIN READ