Bellevue, WA, United States of America

Prateek Rameshchandra Shah


Average Co-Inventor Count = 20.0

ph-index = 2

Forward Citations = 64(Granted Patents)


Company Filing History:


Years Active: 2017-2019

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Prateek Rameshchandra Shah: Innovator in Predictive Caching Technologies

Introduction

Prateek Rameshchandra Shah is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the field of predictive caching technologies, holding a total of three patents. His work primarily focuses on enhancing the efficiency of content delivery through innovative caching methods.

Latest Patents

Prateek's latest patents include "Segmented Predictive Caching for Content" and "Client-Side Predictive Caching for Content." The first patent discloses various embodiments for predictive caching of content to facilitate its use. It involves caching a content item before its use is commenced if an account is likely to start using it. The cache is designed to be divided into multiple segments, each with different content selection criteria. The second patent outlines client-side predictive caching, where the client predicts the need for a content item and caches it in advance. This method allows the client to obtain an initial portion of the content from another computing device, initializing resources to facilitate its use.

Career Highlights

Prateek currently works at Amazon Technologies, Inc., where he applies his expertise in predictive caching to improve content delivery systems. His innovative approaches have contributed to the efficiency and effectiveness of content access for users.

Collaborations

Some of Prateek's coworkers include Lei Li and Andrew Ma, who collaborate with him on various projects within the company.

Conclusion

Prateek Rameshchandra Shah is a distinguished inventor whose work in predictive caching technologies has the potential to transform content delivery systems. His patents reflect a commitment to innovation and efficiency in the digital landscape.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…