Chennai, India

Md Faisal Khan

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Md Faisal Khan. Retrieved from https://idiyas.com/inventor/md-faisal-khan

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: Md Faisal Khan and His Patent for Dynamic User Interfaces.

Introduction

Md Faisal Khan is an inventor based in Chennai, India, and is associated with PayPal, Inc. His work includes a patent describing an intelligent simulation approach to developing dynamic user interfaces and content with reduced coding effort.

Latest Patents

Khan is identified with 1 patent: “Dynamic User Interfaces and Content with Reduced Code Development Using an Intelligent Scenario Simulation Engine.” The invention describes systems and methods for tailoring interfaces and content to users by simulating different combinations of user data, agent data, and service states. The simulation engine may use a large language model or generative AI to model user-experience scenarios and generate interface code and service calls.

Career Highlights

Khan’s listed patent is associated with online transaction processing and other computing services that may be supported by service-provider agents. The approach aims to help providers create user experiences suited to different scenarios while reducing the amount of manual code development.

Collaborations

The supplied information associates Khan with PayPal, Inc. and describes an invention relevant to the company’s online transaction-processing services. It does not specify additional collaborators or co-inventors.

Conclusion

Md Faisal Khan’s patent presents a scenario-simulation approach for creating adaptable user interfaces and content with less code, connecting generative AI techniques with online service delivery.

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…