San Francisco, CA, United States of America

Eric Rynerson

This inventor holds 1 USPTO granted patent. Top assignee: Maplebear Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eric Rynerson. Retrieved from https://idiyas.com/inventor/eric-rynerson

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

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Eric Rynerson: Innovator in Database Query Generation

Introduction

Eric Rynerson is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of database technology through his innovative patent. His work focuses on enhancing the efficiency of database queries using advanced machine-learning techniques.

Latest Patents

Eric holds a patent titled "Generating database query using machine-learned large language models." This invention involves a computer system that utilizes a machine-learned language model to generate SQL queries based on user input. The system processes a user query, identifies an embedding for it, and generates a prompt for the language model. This prompt includes the user query, relevant metadata, and a request for SQL statements. The output is then used to respond to the user's query effectively.

Career Highlights

Eric Rynerson is currently employed at Maplebear Inc., where he applies his expertise in machine learning and database systems. His innovative approach has positioned him as a key player in the development of advanced database solutions.

Collaborations

Eric has collaborated with talented individuals such as Changyao Chen and Xiaoding Krause. Their combined efforts contribute to the advancement of technology in their field.

Conclusion

Eric Rynerson's work exemplifies the intersection of machine learning and database technology. His innovative patent demonstrates the potential for improving database query generation, showcasing his valuable contributions to the industry.

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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