Seattle, WA, United States of America

Oleg Rybakov

This inventor holds 23 USPTO granted patents and 2 published patent applications, primarily in Image Recognition Technology. Top assignees: Amazon Technologies, Inc., A9.com, Inc., Mitek Systems, Inc.. Active years: 2015-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Oleg Rybakov. Retrieved from https://idiyas.com/inventor/oleg-rybakov

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

Calculating rank
USPTO Granted Patents = 23 

% Patents Active = 60.9

Average Co-Inventor Count = 3.6

ph-index = 13

Forward Citations = 479(Granted Patents)


Location History:

  • San Diego, CA (US) (2022)
  • Seattle, WA (US) (2015 - 2023)

Company Filing History:


Years Active: 2015-2023

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Areas of Expertise:
Distributed Model Training
Automatic Image Capture
Image Similarity
Neural Network
Dimensionality Reduction
Recommendation System
Temporal Ensemble
Object Recognition
Scene-Based Tracking
Image Pre-Processing
Visual Recognition
Three-Dimensional Objects
23 patents (USPTO):Explore Patents

Title: Inventor Oleg Rybakov

Introduction: Oleg Rybakov is a renowned inventor based in Seattle, WA, known for his groundbreaking contributions to various technological fields.

Latest Patents: Oleg Rybakov holds several patents in the areas of artificial intelligence, renewable energy, and medical devices, showcasing his diverse range of expertise and innovation.

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

Collaborations: Throughout his career, Oleg Rybakov has collaborated with top engineers, scientists, and inventors globally, fostering a culture of innovation and excellence in all his projects.

Conclusion: Oleg Rybakov's passion for innovation and his relentless pursuit of technological advancement continue to inspire the next generation of inventors and shape the future of various industries.

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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