San Jose, CA, United States of America

Som Satapathy

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Som Satapathy. Retrieved from https://idiyas.com/inventor/som-satapathy-vcpu2la9

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: Innovations of Som Satapathy

Introduction

Som Satapathy is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in natural language processing. His innovative work has led to the development of a patent that enhances the interaction between users and large language models.

Latest Patents

Som Satapathy holds a patent for "Translating natural language input using large language models." This invention involves a query management module that receives a graph query generated by a large language model based on a natural language query. The system includes a validation module that identifies errors in the graph query and communicates these errors back to the large language model. After receiving a modified graph query, the validation module ensures its accuracy before executing it against a knowledge graph to return results.

Career Highlights

Som is currently employed at Adobe, Inc., where he continues to push the boundaries of technology and innovation. His work at Adobe has allowed him to collaborate with other talented professionals in the field.

Collaborations

Some of Som's notable coworkers include Ramasuri Narayanam and Chetan Sharma. Their collective expertise contributes to the innovative environment at Adobe.

Conclusion

Som Satapathy's contributions to the field of natural language processing exemplify the spirit of innovation. His patent demonstrates the potential of large language models to improve user interactions with technology.

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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