Vancouver, Canada

Khalil Ben Ayed

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Cisco Technology, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Khalil Ben Ayed. Retrieved from https://idiyas.com/inventor/khalil-ben-ayed

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

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Khalil Ben Ayed: Inventor Advancing AI-Generated Code Reliability.

Introduction

Khalil Ben Ayed is an inventor based in Vancouver, Canada, associated with Cisco Technology, Inc. His patent work addresses ways to improve the reliability of programming code generated through integration with generative artificial intelligence.

Latest Patents

Ben Ayed is named on 1 patent: “Error correcting of programming code generated through integration with generative artificial intelligence.” The invention describes systems and methods for improving pipelined search query statements generated by a large language model. A post-processing engine checks the generated code against a user’s schema and corrects inconsistent terms. Once the code terms align with the schema, a graphical user interface displays the response.

Career Highlights

Ben Ayed’s disclosed patent focuses on a practical challenge in applying large language models to programming: generated code may not match the terminology or structure expected by a user’s schema. The proposed post-processing and error-correction approach is designed to help address that mismatch.

Collaborations

Ben Ayed’s listed coworkers include Leo Betthauser and Longbin Chen. His patent is associated with Cisco Technology, Inc.

Conclusion

Khalil Ben Ayed’s patent highlights an approach to making AI-generated programming code more consistent with user schemas through post-processing and error correction.

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]
Loading…