San Jose, CA, United States of America

Ramasuri Narayanam

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ramasuri Narayanam. Retrieved from https://idiyas.com/inventor/ramasuri-narayanam-g1e42zsk

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

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Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ramasuri Narayanam: Inventor in Natural Language Processing.

Introduction

Ramasuri Narayanam is an inventor based in San Jose, California, and works at Adobe Inc. His patent work includes a method for translating natural-language queries into graph queries with the assistance of large language models.

Latest Patents

Narayanam is associated with one patent, titled “Translating Natural Language Input Using Large Language Models.” The invention describes a system in which a large language model generates a graph query from a natural-language query. A validation module checks the generated query for errors, and the system can send an error indication back to the model and receive a modified query. After validating the revised query, the system executes it against a knowledge graph and returns the result as a response to the original query. The approach combines query validation and model-assisted revision to help translate natural-language requests into executable graph queries.

Career Highlights

Narayanam’s listed patent reflects work at the intersection of natural-language processing, large language models, and knowledge-graph query systems. His professional affiliation is Adobe Inc.

Collaborations

Chetan Sharma and Som Satapathy are identified as Narayanam’s coworkers.

Conclusion

Ramasuri Narayanam’s patent describes a model-assisted process for validating and refining graph queries generated from natural-language input, connecting conversational requests with knowledge-graph results.

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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