Sunnyvale, CA, United States of America

Guru Golani

This inventor holds 1 USPTO granted patent. Top assignee: Excalibur IP, LLC. Active years: 2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Guru Golani. Retrieved from https://idiyas.com/inventor/guru-golani

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Guru Golani: Innovator in Data Pipeline Technology

Introduction

Guru Golani is a notable inventor based in Sunnyvale, CA. He has made significant contributions to the field of data technology, particularly in constructing efficient data pipelines. His innovative approach focuses on scalability and low latency, which are critical factors in modern data processing.

Latest Patents

Guru Golani holds a patent for a method and system designed for constructing a data pipeline that emphasizes scalability and low latency. The patent outlines a primary data distributor cluster and one or more non-primary data distributor clusters. The system is arranged in a cascade configuration, which enhances the overall efficiency of data distribution.

Career Highlights

Guru Golani is currently employed at Excalibur IP, LLC, where he continues to develop and refine his innovative ideas. His work has positioned him as a key player in the field of data technology, contributing to advancements that benefit various industries.

Collaborations

Some of his notable coworkers include Praveen Sadhu and Avanti Nadgir, who collaborate with him on various projects at Excalibur IP, LLC.

Conclusion

Guru Golani's contributions to data pipeline technology demonstrate his commitment to innovation and efficiency. His work continues to influence the way data is processed and distributed in today's digital landscape.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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