Seattle, WA, United States of America

Jayant Ganeshmohan

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jayant Ganeshmohan. Retrieved from https://idiyas.com/inventor/jayant-ganeshmohan

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jayant Ganeshmohan and Application-Layer Prompt Reasoning

Introduction

Jayant Ganeshmohan is an inventor associated with Seattle, Washington, and Amazon Technologies, Inc. His work includes an invention focused on structuring language-model prompts to support task-specific reasoning.

Latest Patents

Ganeshmohan is associated with 1 patent: “Enhanced Prompt Reasoning at Application Layer for Machine Learning Models.” The patent describes devices, systems, and methods for language-model prompt engineering. In one approach, a first prompt asks a language model to generate task-specific reasoning modules. A second prompt then combines the original task, another task, and one of those modules to guide the model in creating an initial reasoning structure without yet providing an answer.

Career Highlights

His patent work addresses how application-layer prompt design can organize a language model’s reasoning process. The described method separates the generation of reasoning modules from the creation of a structure for responding to a task.

Collaborations

The provided information identifies Krishna Aswani and Huilin Lu as Ganeshmohan’s coworkers. Their shared professional context is associated with Amazon Technologies, Inc.

Conclusion

Jayant Ganeshmohan’s patent describes a structured prompt-engineering approach for guiding language models through task-specific reasoning before they generate a response.

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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