Hyderabad Telangana, India

Ridhi Puppala

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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

Title: Ridhi Puppala: Innovator in Model Validation

Introduction

Ridhi Puppala is an accomplished inventor based in Hyderabad, Telangana, India. She has made significant contributions to the field of digital systems, particularly in the area of model validation. Her innovative approach has led to the development of a unique patent that addresses the challenges associated with assessing machine learning models and other statistical systems.

Latest Patents

Ridhi holds a patent titled "Model validation as a service." This disclosure outlines techniques for validating digital systems, including machine learning models. The method involves receiving a request from a development system to perform a test on a model, outputting an instruction to the development system, enabling it to process the instruction, and evaluating the test response data received by the validation computing system. This patent represents a significant advancement in ensuring the reliability and accuracy of digital models.

Career Highlights

Ridhi Puppala is currently employed at Wells Fargo Bank, N.A., where she applies her expertise in model validation. Her work at the bank allows her to contribute to the financial sector by enhancing the accuracy of predictive models used in various applications. Ridhi's dedication to innovation and her technical skills have made her a valuable asset to her team.

Collaborations

Throughout her career, Ridhi has collaborated with notable professionals in her field, including Fernando Cela Diaz and Agus Sudjianto. These collaborations have fostered an environment of innovation and have contributed to the successful development of her patent.

Conclusion

Ridhi Puppala is a pioneering inventor whose work in model validation is shaping the future of digital systems. Her contributions not only enhance the reliability of machine learning models but also demonstrate the importance of innovation in technology.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…