San Carlos, CA, United States of America

Paritosh Aggarwal

This inventor holds 2 USPTO granted patents. Top assignee: Snowflake Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paritosh Aggarwal. Retrieved from https://idiyas.com/inventor/paritosh-aggarwal-b12kr3nw

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 8.0


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Paritosh Aggarwal: Innovator in AI Model-Based Data Filtering

Introduction

Paritosh Aggarwal is a notable inventor based in San Carlos, CA (US). He has made significant contributions to the field of artificial intelligence, particularly in data filtering technologies. His innovative approach leverages AI model cascades to enhance data processing efficiency.

Latest Patents

Paritosh holds 1 patent for his invention titled "Cascade AI model-based data filtering based on prompt." This patent describes various embodiments that provide systems, methods, and devices for utilizing AI model cascades to filter data within a database system based on user-provided prompts. The invention aims to optimize data filtering operations while balancing computational costs and accuracy, making it particularly useful for processing large-scale data queries.

Career Highlights

Paritosh is currently employed at Snowflake Inc., where he applies his expertise in AI and data systems. His work focuses on developing advanced solutions that improve data management and accessibility. His contributions have been instrumental in enhancing the capabilities of the company's offerings.

Collaborations

Some of Paritosh's coworkers include Bowei Chen and Boxin Jiang, who collaborate with him on various projects within the company. Their combined efforts contribute to the innovative environment at Snowflake Inc.

Conclusion

Paritosh Aggarwal is a pioneering inventor whose work in AI model-based data filtering is shaping the future of data processing. His contributions are vital in addressing the challenges of large-scale data management.

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]
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