Miramar, FL, United States of America

Brandon Obas

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Dropbox, Inc.. Active years: 2026.

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Brandon Obas

Introduction

Brandon Obas is an accomplished inventor based in Miramar, FL (US). He has made significant contributions to the field of digital content organization through his innovative patent. His work focuses on utilizing machine-learning models to enhance the way digital content is classified and organized.

Latest Patents

Brandon Obas holds a patent titled "Classifying and organizing digital content items automatically utilizing content item classification models." This patent describes systems, methods, and non-transitory computer-readable media that employ machine-learning models to classify content items. The classification system can detect when new content items are added to a smart folder, determine their appropriate destination folders based on classifications, and automatically move the content items accordingly. This innovation streamlines the organization of digital content, making it more efficient and user-friendly.

Career Highlights

Brandon Obas is currently employed at Dropbox, Inc., where he continues to develop and refine his innovative ideas. His work at Dropbox allows him to apply his expertise in machine learning and digital content management, contributing to the company's mission of simplifying file storage and sharing.

Collaborations

Brandon collaborates with talented individuals in his field, including his coworker David Lichtenberg. Together, they work on advancing technologies that improve digital content organization and accessibility.

Conclusion

Brandon Obas is a forward-thinking inventor whose work in digital content classification is paving the way for more efficient organization systems. His contributions to the field are noteworthy and demonstrate the potential of machine learning in everyday applications.

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