Bothell, WA, United States of America

Sai Maddali

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sai Maddali. Retrieved from https://idiyas.com/inventor/sai-maddali-sf15wu63

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

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1 patent (USPTO):Explore Patents

Title: Innovations by Sai Maddali

Introduction

Sai Maddali is an accomplished inventor based in Bothell, WA (US). He has made significant contributions to the field of data streaming systems. His innovative approach has led to the development of techniques that enhance log storage in distributed environments.

Latest Patents

Sai Maddali holds a patent for "Log storage in distributed data streaming systems." This patent describes techniques for log storage where a cluster of brokers receives log records from publishers and sends them to subscribers. The log is represented as a group of segments, with each segment subdivided into chunks. Metadata is utilized to describe the log structure, and log records are stored in chunks at least in a remote storage location shared among the brokers in the cluster. He has 1 patent to his name.

Career Highlights

Sai Maddali is currently employed at Amazon Technologies, Inc. His work focuses on improving data management and storage solutions, which are critical in today's data-driven world. His expertise in distributed systems has positioned him as a valuable asset in his field.

Collaborations

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Conclusion

Sai Maddali's contributions to log storage in distributed data streaming systems exemplify the innovative spirit of modern inventors. His work continues to influence the way data is managed and stored in complex 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]
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