Watertown, MA, United States of America

Anas Daboussi

This inventor holds 3 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anas Daboussi. Retrieved from https://idiyas.com/inventor/anas-daboussi

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: The Innovative Mind of Anas Daboussi

Introduction: Anas Daboussi is a visionary inventor based in Watertown, MA, known for his groundbreaking contributions to the field of technology and beyond.

Latest Patents: Anas Daboussi holds several patents in various industries, including telecommunications, renewable energy, and healthcare. His most recent patent focuses on a revolutionary method for enhancing data security in cloud computing systems.

Career Highlights: With a career spanning over two decades, Anas Daboussi has worked with leading tech companies to develop cutting-edge solutions. His expertise in artificial intelligence and machine learning has led to significant advancements in automation and data analytics.

Collaborations: Throughout his career, Anas Daboussi has collaborated with top researchers, engineers, and scientists to bring his innovative ideas to life. His ability to work across disciplines has resulted in the successful implementation of complex technological systems.

Conclusion: Anas Daboussi's passion for innovation and his relentless pursuit of excellence have solidified his reputation as a trailblazer in the world of technology. His contributions continue to inspire the next generation of inventors and shape the future of industries worldwide.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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