Joohoon Lee

Joohoon Lee leads the Automotive Deep Learning Solutions Architect team at NVIDIA. He focuses on turning deep learning research into real world autonomous driving software for production deployment. His team enables automotive customers to use the NVIDIA DRIVE platform for DNN training, fine-tuning, optimization and deployment. Before joining NVIDIA, he worked as a GPU software architect on the acceleration of DNN algorithms. Joohoon received his B.S. and M.S. in electrical and computer engineering from Carnegie Mellon University.

Posts by Joohoon Lee

Technical Walkthrough 0

Optimizing T5 and GPT-2 for Real-Time Inference with NVIDIA TensorRT

TensorRT 8.2 optimizes HuggingFace T5 and GPT-2 models. You can build real-time translation, summarization, and other online NLP apps. 9 MIN READ
Cityscapes TensorRT
Technical Walkthrough 0

Fast INT8 Inference for Autonomous Vehicles with TensorRT 3

Autonomous driving demands safety, and a high-performance computing solution to process sensor data with extreme accuracy. Researchers and developers creating… 13 MIN READ