Shashank Verma

Shashank Verma is a deep learning technical marketing engineer at NVIDIA. He is responsible for developing and presenting developer-focused content on various deep learning frameworks. He obtained his master's in electrical engineering from the University of Wisconsin-Madison, where he focused on computer vision, security aspects in data science, and HPC.

Posts by Shashank Verma

Technical Walkthrough 7

Scaling Recommendation System Inference with Merlin Hierarchical Parameter Server

Recommendation systems are widely used today to personalize user experiences and improve customer engagement in various settings like e-commerce, social media,... 11 MIN READ
Technical Walkthrough 7

Fast, Terabyte-Scale Recommender Training Made Easy with NVIDIA Merlin Distributed-Embeddings

Embeddings play a key role in deep learning recommender models. They are used to map encoded categorical inputs in data to numerical values that can be... 8 MIN READ
Technical Walkthrough 0

Building and Deploying Conversational AI Models Using NVIDIA TAO Toolkit

Sign up for the latest Speech AI news from NVIDIA. Conversational AI is a set of technologies enabling human-like interactions between humans and devices based... 25 MIN READ
Technical Walkthrough 1

Continuously Improving Recommender Systems for Competitive Advantage Using NVIDIA Merlin and MLOps

Recommender systems are a critical resource for enterprises that are relentlessly striving to improve customer engagement. They work by suggesting potentially... 12 MIN READ