New York, NY, United States of America

Hanoz Bhathena

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: Hanoz Bhathena: Innovator in Natural Language Processing

Introduction

Hanoz Bhathena is an accomplished inventor based in New York, NY. He has made significant contributions to the field of natural language processing, holding two patents that showcase his innovative approach to technology. His work focuses on improving the interaction between humans and machines through advanced systems and methods.

Latest Patents

Hanoz Bhathena's latest patents include "Systems and methods for generating query parameters from natural language utterances." This patent describes a method that receives a text string of an utterance, tokenizes it into a plurality of tokens, transforms these tokens into feature vectors, assigns entity labels, and resolves each feature vector to a corresponding standardized value of a database query language. Another notable patent is "Methods and systems for identifying dynamic thematic relationships as a function of time." This invention outlines improvements in identifying thematic relationships in data sets using machine learning models, particularly focusing on dynamic relationships that change over time.

Career Highlights

Throughout his career, Hanoz has worked with prominent companies such as UBS Business Solutions AG and JPMorgan Chase Bank, N.A. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in technology and finance.

Collaborations

Hanoz has collaborated with talented individuals in his field, including Barry Scott Hurewitz and Prashanth Jeganathen. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Hanoz Bhathena is a notable inventor whose work in natural language processing has the potential to transform how we interact with technology. His patents reflect a deep understanding of both language and machine learning, positioning him as a key figure in the ongoing evolution of this field.

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