Los Altos, CA, United States of America

Murali Krishna Ramanathan

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Murali Krishna Ramanathan. Retrieved from https://idiyas.com/inventor/murali-krishna-ramanathan-h9vx82b6

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Murali Krishna Ramanathan: Inventor in AI-Assisted Software Development

Introduction

Murali Krishna Ramanathan is an inventor based in Los Altos, California. His work includes an invention that uses machine learning to help determine when a software development environment should request a code suggestion.

Latest Patents

Ramanathan is associated with 1 patent, titled “Predicting Automatic Triggers for Obtaining Code Suggestions from a Generative Machine Learning Model.” The invention uses contextual information about a code file and a user’s past suggestion behavior as input features for a machine learning model. The model predicts whether to automatically request a code suggestion, which a generative machine learning model can then produce and present through the development environment’s interface.

Career Highlights

Ramanathan is associated with Amazon Technologies, Inc. His patent work focuses on applying machine learning to improve how developers receive code suggestions.

Collaborations

His listed coworkers include Mehdi Shojaie and Varun Kumar.

Conclusion

Murali Krishna Ramanathan’s patent describes an approach to making AI-generated code suggestions more responsive to a developer’s context and behavior.

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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