Amey Kulkarni

Amey Kulkarni is a developer technology engineer at NVIDIA and focuses on deploying deep learning solutions to the edge efficiently. Before joining NVIDIA in 2019, he completed a PhD in computer engineering from the University of Maryland. His research interests are in deploying digital signal processing, computer vision, and deep learning systems on embedded platforms.

Posts by Amey Kulkarni

Technical Walkthrough 2 May 05, 2022

Developing and Deploying AI-powered Robots with NVIDIA Isaac Sim and NVIDIA TAO

Learn how to develop an end-to-end workflow starting with generating synthetic data in NVIDIA Isaac Sim, fine-tuning using the TAO Toolkit, and deploying a model with NVIDIA Isaac ROS. 12 MIN READ
Technical Walkthrough 0 May 20, 2021

Accelerating AI Modules for ROS and ROS 2 on NVIDIA Jetson Platform

In this post, we showcase our support for open-source robotics frameworks including ROS and ROS 2 on NVIDIA Jetson developer kits. 11 MIN READ
Technical Walkthrough 0 Mar 23, 2021

Training Your NVIDIA JetBot to Avoid Collisions Using NVIDIA Isaac Sim

Collecting a variety of data is important for AI model generalization. A good dataset consists of objects with different perspectives, backgrounds, colors… 10 MIN READ
Technical Walkthrough 0 Nov 17, 2020

Implementing Robotics Applications with ROS 2 and AI on the NVIDIA Jetson Platform

Deep learning is being adopted in robotics to accurately navigate indoor environments, detect and follow objects of interest, and maneuver without collisions. 9 MIN READ
Technical Walkthrough 0 Aug 17, 2020

Implementing a Real-time, AI-Based, Face Mask Detector Application for COVID-19

Businesses are constantly overhauling their existing infrastructure and processes to be more efficient, safe, and usable for employees, customers… 10 MIN READ