Bengaluru, India

Bailur Arjun Kini

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignees: Atlassian Corporation Pty Ltd., Atlassian US, Inc.. Active years: 2024.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Bailur Arjun Kini: Innovator in Machine Learning Techniques

Introduction

Bailur Arjun Kini is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, particularly in the semantic processing of structured natural language documents. His innovative work focuses on enhancing the detection of action items within documents, showcasing his expertise in this rapidly evolving domain.

Latest Patents

Bailur Arjun Kini holds a patent for "Machine learning techniques for semantic processing of structured natural language documents to detect action items." This invention provides various methods, apparatuses, and systems designed to accurately generate action item logs from document data objects. The patent outlines a process that includes generating content segmentation units, predicting action item presence, and aggregating action item sets to create a comprehensive action item log.

Career Highlights

Throughout his career, Bailur has worked with prominent companies, including Atlassian Corporation Pty Ltd. and Atlassian US, Inc. His experience in these organizations has allowed him to collaborate with other talented professionals in the field, further enhancing his skills and contributions to machine learning.

Collaborations

Bailur has collaborated with notable coworkers such as Karthik Muralidharan and Shashank Prasad Rao. These partnerships have played a crucial role in the development of his innovative ideas and patents.

Conclusion

Bailur Arjun Kini is a distinguished inventor whose work in machine learning has the potential to transform how action items are detected in natural language documents. His contributions to the field are noteworthy, and his patent reflects his commitment to advancing technology.

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