New York, NY, United States of America

Yogarshi Paritosh Vyas


Average Co-Inventor Count = 9.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):Explore Patents

Title: **Innovator Spotlight: Yogarshi Paritosh Vyas**

Introduction

Yogarshi Paritosh Vyas is a notable inventor based in New York, NY, recognized for his contributions to the field of natural language processing. With a focus on enhancing the processing of semi-structured data, his work holds significant relevance in today's data-driven world.

Latest Patents

Yogarshi has been granted a patent for his innovative approach titled "Natural language processing on semi-structured data." This patent outlines techniques for effectively performing natural language processing (NLP) on semi-structured documents. The exemplary method involves receiving a semi-structured document and utilizing a trained NLP model to convert it into a secondary format that retains spatial information for tokens. The processed document is then flattened into a Unicode Transformation Format text file, allowing for NLP operations and yielding results for users.

Career Highlights

Currently, Yogarshi is employed at Amazon Technologies, Inc., where he leverages his expertise in NLP to contribute to cutting-edge technology solutions. His work not only reflects his innovative spirit but also showcases the application of his patented techniques in real-world scenarios.

Collaborations

Throughout his career, Yogarshi has collaborated with fellow innovators, including Sunil Mallya Kasaragod and Yahor Pushkin. These partnerships emphasize the importance of teamwork in achieving groundbreaking advancements in technology and innovation.

Conclusion

Yogarshi Paritosh Vyas stands out as an influential figure in the realm of natural language processing. Through his patent and collaborative efforts at Amazon Technologies, he continues to advance the capabilities of NLP technology, offering valuable solutions in the evolving landscape of data processing.

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