Bengaluru, India

Rathidevi Shanmugam

This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rathidevi Shanmugam. Retrieved from https://idiyas.com/inventor/rathidevi-shanmugam

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

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Rathidevi Shanmugam: Innovator in Data Management Systems

Introduction

Rathidevi Shanmugam is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of data management, particularly through his innovative patent that leverages large language model (LLM) capabilities. His work focuses on enhancing the efficiency of data extraction and object creation processes.

Latest Patents

Rathidevi holds a patent for a system titled "Data extraction, object creation, and query system leveraging LLM capabilities." This invention discloses various embodiments for a sensitive data management system. The system operates by receiving a request to generate a new data object based on a file comprising unstructured data. Raw data is extracted from the file, and a prompt for a large language model is generated to create a mapping between the raw data and fields for the data object. The mapping is displayed via a user interface, and upon receiving approval, the data object is generated in a data storage system.

Career Highlights

Rathidevi is currently associated with SAP SE, where he continues to innovate and develop solutions that address complex data management challenges. His expertise in the field has positioned him as a valuable asset to the company and the broader tech community.

Collaborations

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Conclusion

Rathidevi Shanmugam's contributions to data management through his innovative patent demonstrate his commitment to advancing technology in this critical area. His work not only enhances data handling processes but also sets a precedent for future innovations in the field.

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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