Mountain View, CA, United States of America

Shubham Bansal

This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms, Inc.. Active years: 2022.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Shubham Bansal: Innovator in Page Content Evaluation

Introduction

Shubham Bansal is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of technology, particularly in the evaluation of page content. His innovative approach combines machine learning with practical applications, showcasing his expertise in the industry.

Latest Patents

Shubham Bansal holds a patent for "Systems and methods for evaluating page content." This patent describes systems, methods, and non-transitory computer-readable media that can determine a set of candidate values for a field in a page. The candidate values are evaluated for accuracy based on a machine learning model, which outputs a respective score for each candidate value. This score measures the accuracy of the candidate value for the field in the page. Ultimately, a best scoring candidate value is determined from the set, and the field in the page is associated with this best scoring candidate value. He has 1 patent to his name.

Career Highlights

Shubham Bansal is currently employed at Meta Platforms, Inc., where he continues to innovate and develop new technologies. His work focuses on enhancing the accuracy and efficiency of content evaluation processes, which are crucial in today's digital landscape.

Collaborations

Some of his notable coworkers include Clayton Allen Andrews and Rakesh Ravuru. Their collaborative efforts contribute to the advancement of technology within their organization.

Conclusion

Shubham Bansal is a prominent figure in the field of technology, with a focus on evaluating page content through innovative methods. His contributions are shaping the future of content accuracy and machine learning applications.

Profile summary based on public USPTO records.
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