Berlin, Germany

Divij Vaidya

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Divij Vaidya. Retrieved from https://idiyas.com/inventor/divij-vaidya-rwwikec0

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Divij Vaidya: Inventor in Distributed Data Streaming

Introduction

Divij Vaidya is an inventor based in Berlin, Germany, whose patent work addresses log storage in distributed data streaming systems. He is associated with Amazon Technologies, Inc. His listed portfolio includes 1 patent.

Latest Patents

Vaidya’s patent, “Log Storage in Distributed Data Streaming Systems,” describes techniques for storing and managing logs across a cluster of brokers. The brokers receive log records from publishers and deliver them to subscribers. The log is organized into segments, which are subdivided into chunks, while metadata describes its structure. Log records are stored in chunks at least in a remote storage location shared by the brokers in the cluster.

Career Highlights

The available information connects Vaidya’s invention to distributed data streaming and shared remote storage. These techniques describe how a broker cluster can organize and access log records through a structured log format.

Collaborations

The patent describes a system involving publishers, subscribers, and a cluster of brokers, with the brokers sharing access to remote storage. Vaidya is associated with Amazon Technologies, Inc.; the provided information does not specify additional collaborators.

Conclusion

Divij Vaidya’s listed patent focuses on organizing log records into segments and chunks for shared remote storage in distributed data streaming systems.

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]
Loading…