Coppell, TX, United States of America

Vara Kuppam

This inventor holds 1 USPTO granted patent. Top assignee: Fannie Mae. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vara Kuppam. Retrieved from https://idiyas.com/inventor/vara-kuppam

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Vara Kuppam: Inventor in Machine Learning-Driven System Architecture Automation.

Introduction

Vara Kuppam is an inventor based in Coppell, Texas, whose patent work includes a system for applying machine learning to system architecture automation. He is associated with Fannie Mae.

Latest Patents

Kuppam is named on 1 patent: “Machine learning-driven system architecture automation.” The invention describes a system that receives a user query, converts it into an embedding, and selects related artifact embeddings from the same feature space. It then retrieves a knowledge graph whose nodes represent artifacts and whose edges capture semantic relationships. A generative model receives a representation of the query, the selected embeddings, and the knowledge graph to produce an output, which the system sends to the user’s device.

Career Highlights

Kuppam’s listed patent highlights work at the intersection of machine learning, knowledge graphs, and automated system architecture. The disclosed approach connects user queries with relevant artifacts and their relationships to provide context for generative-model output.

Collaborations

Subra Seshadri and Kiran Ramineni are identified as Kuppam’s coworkers. The provided information does not specify their roles in the patent or the extent of their collaboration.

Conclusion

Vara Kuppam’s patent describes a query-driven architecture that combines embeddings, a knowledge graph, and generative AI to produce relevant system outputs.

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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