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For the Inventor, By the Inventor

San Jose, CA, United States of America

Ivan Jibaja

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This inventor holds 32 USPTO granted patents and 18 published patent applications and 4 EPO patents, primarily in Artificial Intelligence Infrastructure. Top assignees: Pure Storage, Inc., Intel Corporation, Everpure, LLC. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ivan Jibaja. Retrieved from https://idiyas.com/inventor/ivan-jibaja

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

USPTO Granted Patents = 32 

% Patents Active = 93.8

 

Average Co-Inventor Count = 4.8

ph-index = 10

Forward Citations = 255(Granted Patents)


Company Filing History:

goldMedal29 out of 1,804 
 
Pure Storage, Inc.
 patents
silverMedal2 out of 56,290 
 
Intel Corporation
 patents
bronzeMedal1 out of 63 
 
Everpure, LLC
 patents

Years Active: 2017-2026

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Areas of Expertise:
Artificial Intelligence
Machine Learning
Data Transformation
Big Data Analytics
Storage Systems
Data Delivery
Containerized Pipelines
Replication Management
Infrastructure Management
Data Caching
High Availability
Storage Resources
32 patents (USPTO):Explore Patents
1. 12737356 - Efficient data delivery for artificial intelligence systems in distributed storage environments (2026-09-15),
2. 12554442 - Scaling storage resources based on storage volume usage (2026-02-17),
3. 12517685 - Executing machine learning models using transformed datasets (2026-01-06),
4. 12488133 - Configurable automated redaction of log data (2025-12-02),
5. 12488018 - Controlling the direction of replication between cross-region replicated object stores (2025-12-02),
6. 12455705 - Optimizing dataset transformations for use by machine learning models (2025-10-28),
7. 12411867 - Providing application-side infrastructure to control cross-region replicated object stores (2025-09-09),
8. 12373428 - Machine learning models in an artificial intelligence infrastructure (2025-07-29),
9. 12360865 - Creating a containerized data analytics pipeline (2025-07-15),
10. 12314134 - Establishing a guarantee for maintaining a replication relationship between object stores during a communications outage (2025-05-27),
11. 12008404 - Executing a big data analytics pipeline using shared storage resources (2024-06-11),
12. 11860820 - Processing data through a storage system in a data pipeline (2024-01-02),
13. 11803338 - Executing a machine learning model in an artificial intelligence infrastructure (2023-10-31),
14. 11768636 - Generating a transformed dataset for use by a machine learning model in an artificial intelligence infrastructure (2023-09-26),
15. 11768635 - Scaling storage resources in a storage volume (2023-09-26),

Title: Inventor Ivan Jibaja: Pioneering Innovations in San Jose

Introduction: Ivan Jibaja is a visionary inventor based in San Jose, California, known for his groundbreaking contributions to the field of technology and beyond.

Latest Patents: Ivan Jibaja holds several patents in the areas of artificial intelligence, renewable energy, and sustainable transportation, showcasing his diverse range of expertise and innovative spirit.

Career Highlights: With a career spanning over two decades, Ivan Jibaja has worked with leading tech companies, research institutions, and universities to develop cutting-edge solutions that have revolutionized various industries.

Collaborations: Throughout his career, Ivan Jibaja has collaborated with top engineers, scientists, and designers to bring his ideas to life, fostering a culture of innovation and creativity in every project he undertakes.

Conclusion: Ivan Jibaja's relentless passion for innovation and his commitment to pushing the boundaries of what is possible make him a true pioneer in the world of inventions, inspiring the next generation of inventors to dream big and create a better future for all.

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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