Bothell, WA, United States of America

Pramod Ramchandra Khare


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Pramod Ramchandra Khare: Innovator in Key-Value Store Technologies

Introduction

Pramod Ramchandra Khare is a notable inventor based in Bothell, WA (US). He has made significant contributions to the field of data storage and retrieval, particularly through his innovative patent related to key-value stores. His work focuses on enhancing the efficiency and usability of data querying systems.

Latest Patents

Pramod Khare holds a patent for "Dynamic indexing in key-value stores." This invention describes devices and techniques that improve support for indexing and querying within key-value stores. The proposed system expands query functionality by introducing compound indexing, which allows multiple simple key-value store queries to be replaced with a single query. This innovation enables query filtering that was previously unavailable, returning results in timestamp order with appropriate pagination. The dynamic updating of indexing can be performed manually or automatically, enhancing the overall efficiency of systems like event timeline applications.

Career Highlights

Pramod Khare is currently employed at Amazon Technologies, Inc., where he continues to develop and refine technologies that impact data management and retrieval. His work is instrumental in advancing the capabilities of key-value stores, making them more efficient and user-friendly.

Collaborations

Pramod collaborates with talented individuals such as Natalie Thuy-Tien Nguyen and Shyam Sunder Kumar, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Pramod Ramchandra Khare's contributions to the field of key-value store technologies exemplify the impact of innovative thinking in data management. His patent for dynamic indexing showcases his commitment to improving the efficiency and usability of data querying systems.

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