Los Gatos, CA, United States of America

Arjun Satish

This inventor holds 2 USPTO granted patents and 5 published patent applications. Top assignee: Confluent, Inc.. Active years: 2025-2026.

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Arjun Satish: Innovator in Data Distribution Services

Introduction

Arjun Satish is a prominent inventor based in Los Gatos, CA. He has made significant contributions to the field of data distribution services, particularly through his innovative patent. His work focuses on enabling efficient data replication across geographical regions while ensuring data consistency and ordering.

Latest Patents

Arjun holds a patent for a "Data Distribution Service." This invention provides a cross-region data distribution service that enables eventually consistent replication of data objects between geographical regions while maintaining data ordering guarantees. The system utilizes a data stream-based replication model, allowing the destination region to leverage a watch API exposed by origin regions. This API provides a resumable data stream for changes that need to be replicated. The system also incorporates distribution policies that encode source datasets and desired distribution topology, addressing scalability challenges through caching at origin watch servers.

Career Highlights

Arjun is currently employed at Confluent, Inc., where he continues to develop innovative solutions in data management. His expertise in data replication and distribution has positioned him as a key player in the industry.

Collaborations

Arjun has collaborated with notable colleagues, including Abhishek Arora and Jonathan Paul Rosenberg, contributing to a dynamic work environment that fosters innovation.

Conclusion

Arjun Satish's contributions to data distribution services exemplify the impact of innovative thinking in technology. His patent reflects a deep understanding of data management challenges and offers practical solutions for efficient data replication.

Profile summary based on public USPTO records.
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