Cambridge, MA, United States of America

Sireesh Gururaja


Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 9(Granted Patents)


Location History:

  • Cambridge, MA (US) (2022)
  • New York, NY (US) (2023 - 2024)

Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Sireesh Gururaja: Innovator in Machine Learning

Introduction

Sireesh Gururaja is a prominent inventor based in Cambridge, MA (US). He has made significant contributions to the field of machine learning, particularly in the development of dynamically updated text classifiers. With a total of 3 patents to his name, Gururaja continues to push the boundaries of technology.

Latest Patents

Gururaja's latest patents include innovative methods for dynamically updating machine learning models. One of his notable inventions is a method that involves receiving first data comprising a number of documents, training a first machine learning model with this data, and subsequently releasing it for use. After the initial model is deployed, the method allows for the receipt of second data, which may differ from the first. If a significant deviation in word distribution is detected, the first model is retrained using part of the second data, resulting in a new machine learning model that is also released for use. This approach enhances the adaptability and accuracy of text classifiers in real-time applications.

Career Highlights

Sireesh Gururaja is currently employed at Kensho Technologies, LLC, where he applies his expertise in machine learning to develop cutting-edge solutions. His work has been instrumental in advancing the capabilities of text classification systems, making them more responsive to changing data environments.

Collaborations

Gururaja collaborates with talented professionals in his field, including coworkers Aron Szanto and Domenic Puzio. These collaborations foster an environment of innovation and creativity, contributing to the success of their projects.

Conclusion

Sireesh Gururaja is a key figure in the realm of machine learning, with a focus on dynamically updating text classifiers. His contributions through patents and collaborative efforts continue to shape the future of technology in this area.

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