Westborough, MA, United States of America

Chaitra Kallianpur


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Chaitra Kallianpur: Innovator in Artificial Intelligence Optimization

Introduction

Chaitra Kallianpur is a notable inventor based in Westborough, MA (US). He has made significant contributions to the field of artificial intelligence, particularly in optimizing machine learning models. His innovative approach has the potential to enhance the efficiency and effectiveness of AI systems.

Latest Patents

Chaitra holds a patent for an artificial intelligence optimization platform. This patent outlines systems and methods for reusing machine learning models. The technology involves comparing the applicability of prior models using various assessment values, including a similarity threshold and an accuracy threshold. The system identifies the similarity of data between a first data set used to generate a first model and a new data set. When the similarity exceeds a predetermined threshold, the system reuses the model with the highest similarity value. If the accuracy of the new data set does not meet the accuracy threshold, the system initiates a retraining process to generate a second machine learning model associated with the new data.

Career Highlights

Chaitra is currently employed at Hewlett Packard Enterprise Development LP, where he continues to innovate in the field of artificial intelligence. His work focuses on developing advanced systems that leverage machine learning for various applications.

Collaborations

Chaitra collaborates with talented individuals such as Kalapriya Kannan and Suparna Bhattacharya. Their combined expertise contributes to the advancement of AI technologies and the successful implementation of innovative solutions.

Conclusion

Chaitra Kallianpur is a pioneering inventor whose work in artificial intelligence optimization is shaping the future of machine learning. His contributions are vital in enhancing the capabilities of AI systems, making them more efficient and effective.

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