Bengaluru, India

Janupalli Pranay

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Infosys Limited. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Janupalli Pranay: Innovator in Personality Trait Determination

Introduction

Janupalli Pranay is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of artificial intelligence and machine learning, particularly in the context of contact centers. His innovative approach focuses on understanding personality traits through conversational data.

Latest Patents

Janupalli Pranay holds a patent for a method and system for the determination of personality traits of agents in a contact center. This patent, which is a testament to his inventive capabilities, outlines a process that includes retrieving textual data from conversations between agents and customers. The method employs a machine learning model to generate natural language justifications for the personality traits of agents based on the analyzed data. This innovative system not only maps the textual data to personality traits but also assigns qualitative labels to each trait, enhancing the understanding of agent performance.

Career Highlights

Janupalli Pranay is currently employed at Infosys Limited, where he continues to develop and refine his innovative ideas. His work at Infosys has allowed him to collaborate with other talented professionals in the field, contributing to advancements in technology and customer service.

Collaborations

Some of his coworkers include Vishal Manchanda and Amit Kumar, who share a commitment to innovation and excellence in their respective roles.

Conclusion

Janupalli Pranay's contributions to the field of personality trait determination in contact centers highlight his innovative spirit and dedication to improving customer interactions. His patent reflects a significant advancement in the application of machine learning in real-world scenarios.

Profile summary based on public USPTO records.
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