Gorkem Batmaz

Gorkem Batmaz is a senior data scientist on the NVIDIA Morpheus 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, periodicity detection, and Generative AI for cyber solutions. Before joining the Morpheus team, 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.
Avatar photo

Posts by Gorkem Batmaz

Illustration of text-to-SQL Inference.
Generative AI May 30, 2025

Accelerating Text-to-SQL Inference on Vanna with NVIDIA NIM for Faster Analytics

Slow and inefficient query generation from natural language inputs bottlenecks decision-making. This forces analysts and business users to rely heavily on data... 8 MIN READ
An illustration showing code.
Cybersecurity Jul 09, 2024

Building Cyber Language Models to Unlock New Cybersecurity Capabilities

General-purpose large language models (LLMs) have proven their usefulness across various fields, offering substantial benefits in applications ranging from text... 13 MIN READ
Cybersecurity Sep 12, 2023

Generative AI and Accelerated Computing for Spear Phishing Detection

Spear phishing is the largest and most costly form of cyber threat, with an estimated 300,000 reported victims in 2021 representing $44 million in reported... 5 MIN READ
Cybersecurity May 16, 2022

Designing a New Net for Phishing Detection with NVIDIA Morpheus

Email became one of the most pervasive, powerful communication tools during the digital revolution. Attempts to defraud users by deceptively posing as... 6 MIN READ
Networking / Communications Dec 01, 2021

Fingerprinting Every Network User and Asset with NVIDIA Morpheus

Traditional approaches to finding and stopping threats have ceased to be appropriately effective. One reason is the scope of ways an attacker can enter a system... 9 MIN READ
Conversational AI May 10, 2021

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

Background Predictive maintenance is used for early fault detection, diagnosis, and prediction when maintenance is needed in various industries including oil... 6 MIN READ