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For the Inventor, By the Inventor

Beaverton, OR, United States of America

Mateo Guzman

This inventor holds 15 USPTO granted patents and 16 published patent applications and 3 EPO patents, primarily in Machine Learning Applications. Top assignees: Intel Corporation, Intel Products IP LLC. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mateo Guzman. Retrieved from https://idiyas.com/inventor/mateo-guzman

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

Calculating rank
USPTO Granted Patents = 15 

% Patents Active = 86.7

 

Average Co-Inventor Count = 7.4

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • Hillsboro, OR (US) (2021 - 2023)
  • Beaverton, OR (US) (2022 - 2024)

Company Filing History:

goldMedal14 out of 56,394 
 
Intel Corporation
 patents
silverMedal1 out of 19 
 
Intel Products IP LLC
 patents

Years Active: 2021-2026

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Areas of Expertise:
Service Mesh Switching
Machine Learning
Smart Routing
Sensor Calibration
API Contract Generation
Camera Orchestration
Object Tracking
Anomaly Detection
Intelligent Systems
Cognitive Representation
Volumetric-Ocupancy Measurement
Natural Language Processing
15 patents (USPTO):Explore Patents
1. 12777105 - Service mesh switching (2026-10-27),
2. 12461731 - Hands-free deployment of geographically linked applications (2025-11-04),
3. 12270886 - Methods and apparatus to trigger calibration of a sensor node using machine learning (2025-04-08),
4. 12259254 - Systems and methods for vehicle-occupancy-based and user-preference-based smart routing and autonomous volumetric-occupancy measurement (2025-03-25),
5. 12254361 - Dynamic application programming interface (API) contract generation and conversion through microservice sidecars (2025-03-18),
6. 12047357 - Secure application communications through sidecars (2024-07-23),
7. 11880727 - Dynamic application programming interface (API) contract generation and conversion through microservice sidecars (2024-01-23),
8. 11688171 - Person tracking and identification using intelligent camera orchestration (2023-06-27),
9. 11686803 - Methods and apparatus to trigger calibration of a sensor node using machine learning (2023-06-27),
10. 11620900 - Object tracking technology based on cognitive representation of a location in space (2023-04-04),
11. 11553129 - Camera orchestration technology to improve the automated identification of individuals (2023-01-10),
12. 11409594 - Self-supervised learning system for anomaly detection with natural language processing and automatic remediation (2022-08-09),
13. 11257291 - Artificial imagination engine using 5D information descriptors (2022-02-22),
14. 11169239 - Methods and apparatus to trigger calibration of a sensor node using machine learning (2021-11-09),
15. 11017539 - Object tracking and identification using intelligent camera orchestration (2021-05-25),

Title: Inventor Mateo Guzman: Pioneering Innovations in Beaverton

Introduction: Mateo Guzman is a visionary inventor based in Beaverton, Oregon, known for his groundbreaking contributions to various industries.

Latest Patents: Mateo Guzman holds several patents in the fields of renewable energy, sustainable agriculture, and advanced robotics, showcasing his diverse range of expertise.

Career Highlights: With a career spanning over two decades, Guzman has worked with leading research institutions and universities to develop cutting-edge technologies that have revolutionized the way we approach complex challenges.

Collaborations: Throughout his career, Mateo Guzman has collaborated with top companies, innovative startups, and talented individuals to bring his ideas to life and make a lasting impact on society.

Conclusion: Mateo Guzman's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future of technology.

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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