Chicago, IL, United States of America

Anup Khadka

USPTO Granted Patents = 3 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Anup Khadka: Innovator in Augmented Natural Language Generation

Introduction

Anup Khadka is a prominent inventor based in Chicago, IL (US). He has made significant contributions to the field of technology, particularly in the area of natural language processing. With a total of 3 patents to his name, Khadka is recognized for his innovative approaches to enhancing user interaction with computing systems.

Latest Patents

One of Anup Khadka's latest patents is an augmented natural language generation platform. This computing system is designed to receive requests for generating narrative frameworks for worksheets hosted by third-party servers. The system interfaces with these servers to retrieve relevant data associated with the worksheets. It infers attributes from the retrieved data, which correspond to the types of data represented in the worksheets. The computing system then generates narrative templates and data variables for the narrative frameworks. Finally, it constructs the frameworks by selectively retrieving data from the worksheets for each variable.

Career Highlights

Anup Khadka is currently employed at Stats LLC, where he continues to develop innovative solutions in technology. His work focuses on improving the efficiency and effectiveness of natural language generation systems. Khadka's contributions have positioned him as a key player in the tech industry, particularly in the realm of augmented language processing.

Collaborations

Anup collaborates with talented individuals such as Adam Long and Nick Haynes. Together, they work on various projects that push the boundaries of technology and innovation.

Conclusion

Anup Khadka is a visionary inventor whose work in augmented natural language generation is paving the way for future advancements in technology. His patents reflect a deep understanding of user needs and technological capabilities.

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