Bloomington, IL, United States of America

David Hundley

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: State Farm Mutual Automobile Insurance Company. Active years: 2026.

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: David Hundley - Innovator in Data Extraction Technologies

Introduction

David Hundley is a notable inventor based in Bloomington, IL (US). He has made significant contributions to the field of data extraction through his innovative patent. His work focuses on utilizing generative machine learning models to enhance the efficiency of automated data extraction processes.

Latest Patents

David Hundley's most recent patent is titled "Structured data extraction using generative machine learning models." This patent describes advanced techniques for automated data extraction, validation, and routing based on unstructured text data. The process involves receiving text data, segmenting it into multiple parts, and categorizing each segment. Subsequently, prompts are generated for each segment, allowing for the extraction of field values. The extracted values are then validated or rejected based on specific rules, and the validated data is routed to appropriate databases or reviewer platforms.

Career Highlights

David is currently employed at State Farm Mutual Automobile Insurance Company, where he applies his expertise in data extraction technologies. His innovative approach has positioned him as a valuable asset within the company, contributing to advancements in data management and processing.

Collaborations

David collaborates with his coworker, Alvin Yu, to further enhance the capabilities of their projects. Their teamwork fosters a creative environment that drives innovation in their field.

Conclusion

David Hundley's contributions to the field of data extraction through his patent demonstrate his commitment to advancing technology. His work not only improves data processing efficiency but also sets a foundation for future innovations in the industry.

Profile summary based on public USPTO records.
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