Irving, TX, United States of America

Vaibhav Nagpal

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Citigroup, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vaibhav Nagpal. Retrieved from https://idiyas.com/inventor/vaibhav-nagpal

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Vaibhav Nagpal: Innovator in Resource Allocation through Machine Learning

Introduction

Vaibhav Nagpal is a notable inventor based in Irving, TX (US). He has made significant contributions to the field of resource allocation using advanced machine learning techniques. His innovative approach has the potential to enhance efficiency in various sectors.

Latest Patents

Vaibhav holds a patent for "Allocating resources based on group performance metrics computed using machine learning models." This invention involves categorizing a plurality of entities into segments based on data. It generates groups based on similarities between these segments. A machine learning model is then trained to compute performance metrics for these groups. Resources are allocated to groups based on their performance metrics, which are presented through an interface.

Career Highlights

Vaibhav Nagpal is currently employed at Citigroup, Inc., where he applies his expertise in machine learning and resource allocation. His work is instrumental in developing innovative solutions that improve operational efficiency.

Collaborations

Some of his coworkers include Girish Wali and Prasanth Babu Madakasira Ramakrishna. Their collaboration fosters a creative environment that enhances the development of innovative solutions.

Conclusion

Vaibhav Nagpal's contributions to resource allocation through machine learning exemplify the impact of innovation in technology. His work not only advances the field but also sets a precedent for future developments in resource 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]
Loading…