Seattle, WA, United States of America

Ranil Pavithran Muzhangathu

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ranil Pavithran Muzhangathu. Retrieved from https://idiyas.com/inventor/ranil-pavithran-muzhangathu

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ranil Pavithran Muzhangathu and Federated Data Lake Processes.

Introduction

Ranil Pavithran Muzhangathu is an inventor based in Seattle, Washington, and is associated with Amazon Technologies, Inc. His work includes an invention for coordinating data lake processes across data sets and their versions.

Latest Patents

Muzhangathu is named on 1 patent: “Federated Execution of Data Lake Processes.” The invention defines a control data object that describes processes and their relationships for a data set in a data lake. The control object can have states that respond to changes in the data set, and the system can carry enabled processes forward as the data set moves to a new version. Using these control definitions, the system can run operations such as data compaction and data quality scans.

Career Highlights

His listed patent reflects work on automating and coordinating data management operations. By linking process execution to data set states and versions, the approach helps manage recurring tasks within a data lake.

Collaborations

Muzhangathu’s listed coworkers include Daniel Opincariu and Anas Fattahi.

Conclusion

Ranil Pavithran Muzhangathu’s patent describes a control-based approach to executing and carrying forward data lake processes as data sets change.

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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