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.
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Posts by Shashank Verma

Data Science

Scaling Recommendation System Inference with NVIDIA 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
Recommenders / Personalization

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
Simulation / Modeling / Design

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
Recommenders / Personalization

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