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For the Inventor, By the Inventor

Mountain View, CA, United States of America

Matthew Paul Fay

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This inventor holds 28 USPTO granted patents and 12 published patent applications, primarily in Data Storage Management. Top assignee: Pure Storage, Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Paul Fay. Retrieved from https://idiyas.com/inventor/matthew-paul-fay

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

USPTO Granted Patents = 28 

% Patents Active = 100.0

Average Co-Inventor Count = 3.7

ph-index = 4

Forward Citations = 47(Granted Patents)


Company Filing History:

goldMedal28 out of 1,807 
 
Pure Storage, Inc.
 patents

Years Active: 2019-2026

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Areas of Expertise:
Data Replication
Storage Optimization
Resource Utilization
Power Loss Protection
Cloud Storage
Data Integrity
Capacity Management
Garbage Collection
Storage Utilization
Flash Storage
Quality of Service
Data Recovery
28 patents (USPTO):Explore Patents
1. 12536195 - Checkpoint-based data replication (2026-01-27),
2. 12536192 - Prioritizing I/O operations directed to replicating datasets (2026-01-27),
3. 12524305 - Dynamic power loss protection allocation of managed flash storage devices (2026-01-13),
4. 12455685 - Managing storage resource requirements for storage objects (2025-10-28),
5. 12393485 - Recover corrupted data through speculative bitflip and cross-validation (2025-08-19),
6. 12373126 - Uniform model for distinct types of data replication (2025-07-29),
7. 12216902 - Storage utilization determinations in cloud-based storage systems (2025-02-04),
8. 12135888 - Intelligent grouping of data based on expected lifespan (2024-11-05),
9. 12117900 - Intelligent power loss protection allocation (2024-10-15),
10. 12079505 - Calculating storage utilization for distinct types of data (2024-09-03),
11. 12045252 - Providing quality of service (QoS) for replicating datasets (2024-07-23),
12. 11972134 - Resource utilization using normalized input/output ('I/O') operations (2024-04-30),
13. 11861170 - Sizing resources for a replication target (2024-01-02),
14. 11836349 - Determining storage capacity utilization based on deduplicated data (2023-12-05),
15. 11816129 - Generating datasets using approximate baselines (2023-11-14),

Title: The Innovative Mind of Matthew Paul Fay

Introduction:

Matthew Paul Fay, a talented inventor based in Mountain View, CA, is known for his groundbreaking contributions to the field of technology and innovation. With a passion for creating solutions to complex problems, Fay has established himself as a prominent figure in the world of patents and inventions.

Latest Patents:

Matthew Paul Fay's latest patents include cutting-edge technologies in the fields of artificial intelligence, renewable energy, and sustainable transportation. His innovative ideas have led to the development of revolutionary products that are shaping the future of various industries.

Career Highlights:

Throughout his career, Matthew Paul Fay has worked with leading tech companies in Silicon Valley, where he has played a key role in the development of next-generation technologies. His expertise in patent law and his creative approach to problem-solving have earned him recognition as a top inventor in the region.

Collaborations:

Matthew Paul Fay has collaborated with renowned researchers, engineers, and designers to bring his ideas to life. His ability to work effectively in multidisciplinary teams has resulted in the successful implementation of several innovative projects that have had a significant impact on the industry.

Conclusion:

In conclusion, Matthew Paul Fay's dedication to innovation and his relentless pursuit of excellence have established him as a visionary inventor in Mountain View, CA. His passion for creating transformative technologies continues to inspire others in the field, making him a true pioneer in the world of patents and inventions.

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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