Schuylkill Haven, PA, United States of America

Win Suen

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Dropbox, Inc.. Active years: 2025-2026.

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Win Suen - Innovator in Digital Content Classification

Introduction

Win Suen is an accomplished inventor based in Schuylkill Haven, PA (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 classification and organization of digital content items.

Latest Patents

Win Suen holds a patent for "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

Win Suen 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

Win Suen collaborates with talented individuals in his field, including his coworker Tristan Inghelbrecht. Together, they work on advancing technologies that improve digital content organization and accessibility.

Conclusion

Win Suen is a notable inventor whose work in digital content classification has the potential to transform how users interact with their digital files. His innovative approach to utilizing machine learning for content organization exemplifies the future of technology in enhancing user experience.

Profile summary based on public USPTO records.
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