DEVELOPER BLOG

Purnendu Mukherjee

Purnendu Mukherjee is a senior deep learning software engineer, working in the AI Applications group at NVIDIA. His primary focus is to bring state-of-the-art, deep learning-based, speech and natural language processing models into production as part of developing the Jarvis platform. Prior to joining NVIDIA, Purnendu graduated from the University of Florida with a master's degree in computer science specializing in deep learning-based natural language processing.

Posts by Purnendu Mukherjee

AI / Deep Learning

Building and Deploying Conversational AI Models Using the NVIDIA Transfer Learning Toolkit

Conversational AI is a set of technologies enabling human-like interactions between humans and devices based on the most natural interfaces for us: speech and… 24 MIN READ
AI / Deep Learning

Real-Time Natural Language Understanding with BERT Using TensorRT

Large scale language models (LSLMs) such as BERT, GPT-2, and XL-Net have brought about exciting leaps in state-of-the-art accuracy for many natural language… 21 MIN READ
AI / Deep Learning

How to Speed Up Deep Learning Inference Using TensorRT

Introduction to accelerated creating inference engines using TensorRT and C++ with code samples and tutorial links 22 MIN READ