Seattle, WA, United States of America

David Herron Auld

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Herron Auld. Retrieved from https://idiyas.com/inventor/david-herron-auld

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


% Patents Active = 100.0

Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: David Herron Auld: Innovator in Large Language Models

Introduction

David Herron Auld is an accomplished inventor based in Seattle, WA (US). He has made significant contributions to the field of artificial intelligence, particularly in the development of large language models (LLMs). His innovative work has garnered attention and recognition within the tech community.

Latest Patents

David holds a patent titled "Optimizing behavior and deployment of large language models." This patent relates to methods and systems that provide a framework for accelerating the development of LLM solutions. The disclosure outlines methods and systems that support a complete cycle for developing, testing, deploying, and providing feedback on LLM solutions. He has 1 patent to his name.

Career Highlights

David is currently employed at Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technology. His work focuses on enhancing the efficiency and effectiveness of LLMs, which are becoming increasingly important in various applications.

Collaborations

David has collaborated with notable colleagues, including Kanio Georgiev Dimitrov and Jafar Mahmoud Al-kofahi. These partnerships have contributed to the advancement of innovative solutions in the field of artificial intelligence.

Conclusion

David Herron Auld is a key figure in the development of large language models, with a focus on optimizing their deployment and behavior. His contributions are shaping the future of artificial intelligence and its applications.

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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