Santa Clara, CA, United States of America

Arpit Sharma


Average Co-Inventor Count = 2.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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7 patents (USPTO):

Title: Arpit Sharma: Innovator in Natural Language Understanding

Introduction

Arpit Sharma is a prominent inventor based in Santa Clara, CA (US). He has made significant contributions to the field of natural language understanding, particularly in conversational systems. With a total of 7 patents to his name, Sharma is recognized for his innovative approaches that leverage machine learning processes.

Latest Patents

One of Sharma's latest patents focuses on methods and apparatus for natural language understanding in conversational systems using machine learning processes. This application details how a computing device can receive a request identifying textual data. The device applies a natural language model to generate first embeddings from the textual data, which is often trained on retail data, including item descriptions and chat session data. Additionally, the device utilizes a dependency-based model to create second embeddings. By concatenating these embeddings, the device can apply an intent and entity classifier to determine the entities and intent of the request. Ultimately, the computing device generates a response based on the identified intent and entities.

Career Highlights

Arpit Sharma currently works at Walmart Apollo, LLC, where he continues to develop innovative solutions in the realm of conversational systems. His work is instrumental in enhancing user interactions through advanced natural language processing techniques.

Collaborations

Sharma collaborates with talented individuals such as Ghodratollah Aalipour Hafshejani and Pratik Sridatt Jayarao, contributing to a dynamic and innovative work environment.

Conclusion

Arpit Sharma's contributions to natural language understanding and machine learning processes position him as a key figure in the field. His innovative patents and collaborative efforts continue to drive advancements in conversational systems.

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