Karnataka, India

Chirag Talreja

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Chirag Talreja

Introduction

Chirag Talreja is an accomplished inventor based in Karnataka, India. He has made significant contributions to the field of machine learning and data validation. With a total of 2 patents, his work focuses on enhancing the reliability and correctness of data in machine learning pipelines.

Latest Patents

Chirag's latest patents include innovative systems and methods for data correctness and validation using validation definition language. These patents provide a framework for generating extract-transform-load (ETL) machine learning (ML) pipeline validation rules based on user input. The validation rules are designed to validate an ETL ML pipeline against multiple test datasets. They include compute-type validation rules for computing expected values of data structures within a dataset output by the ETL ML pipeline. Additionally, check-type validation rules are incorporated to ensure that data structures within a dataset have the intended characteristics. This approach allows for automatic expected validation definition generation for data correctness in AI/ML pipelines, enhancing the efficiency and accuracy of data processing.

Career Highlights

Chirag Talreja is currently employed at Hewlett Packard Enterprise Development LP, where he applies his expertise in machine learning and data validation. His work is instrumental in developing robust systems that ensure data integrity in complex ML environments.

Collaborations

Chirag collaborates with talented professionals such as Chinmay Chaturvedi and Sagar Venkappa Nyamagouda. Their combined efforts contribute to the advancement of innovative solutions in the field of data validation and machine learning.

Conclusion

Chirag Talreja's contributions to the field of machine learning and data validation are noteworthy. His patents reflect a commitment to improving data correctness and reliability in ETL ML pipelines. Through his work at Hewlett Packard Enterprise Development LP, he continues to drive innovation in this critical area.

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