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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Patrick Hayes

This inventor holds 27 USPTO granted patents and 2 published patent applications and 1 EPO patent, primarily in Machine Learning Optimization. Top assignees: Intel Corporation, Sigopt, Inc., Other. Active years: 1986-2026.

USPTO Granted Patents = 27 

% Patents Active = 92.6

 

Average Co-Inventor Count = 3.7

ph-index = 10

Forward Citations = 210(Granted Patents)


Location History:

  • Oroville, CA (US) (1986)
  • Covington, GA (US) (2006)
  • San Francisco, CA (US) (2019 - 2024)

Company Filing History:

goldMedal15 out of 56,290 
 
Intel Corporation
 patents
silverMedal10 out of 10 
 
Sigopt, Inc.
 patents
bronzeMedal2 out of 834,453 
Other
 patents

Years Active: 1986-2026

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Areas of Expertise:
Machine Learning
Optimization Platform
Hyperparameter Tuning
Intelligent API
Model Training
Tuning Criteria
Data-Driven Solutions
Accelerated Tuning
Intelligent Systems
Performance Metrics
Application Programming Interface
Prior Model Data
27 patents (USPTO):Explore Patents
1. 12682287 - Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria (2026-07-14),
2. 12450479 - Systems and methods for tuning hyperparameters of a model and advanced curtailment of a training of the model (2025-10-21),
3. 12373699 - Systems and methods for an accelerated tuning of hyperparameters of a model using a machine learning-based tuning service (2025-07-29),
4. 12236287 - Systems and methods for implementing an intelligent application program interface for an intelligent optimization platform (2025-02-25),
5. 12159209 - Systems and methods for an accelerated and enhanced tuning of a model based on prior model tuning data (2024-12-03),
6. 12141667 - Systems and methods implementing an intelligent optimization platform (2024-11-12),
7. 12033036 - Systems and methods for implementing an intelligent tuning of multiple hyperparameter criteria of a model constrained with metric thresholds (2024-07-09),
8. 11966860 - Systems and methods implementing an intelligent machine learning tuning system providing multiple tuned hyperparameter solutions (2024-04-23),
9. 11709719 - Systems and methods for implementing an intelligent application program interface for an intelligent optimization platform (2023-07-25),
10. 11704567 - Systems and methods for an accelerated tuning of hyperparameters of a model using a machine learning-based tuning service (2023-07-18),
11. 11699098 - Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria (2023-07-11),
12. 11301781 - Systems and methods implementing an intelligent optimization platform (2022-04-12),
13. 11270217 - Systems and methods implementing an intelligent machine learning tuning system providing multiple tuned hyperparameter solutions (2022-03-08),
14. 11163615 - Systems and methods for implementing an intelligent application program interface for an intelligent optimization platform (2021-11-02),
15. 11157812 - Systems and methods for tuning hyperparameters of a model and advanced curtailment of a training of the model (2021-10-26),

Title: Compact and Portable Water Purification Device: Innovation by Patrick Hayes

Introduction:

Innovation plays a crucial role in addressing global challenges, and one such innovator is Patrick Hayes from San Francisco, CA. With a remarkable track record and numerous patents to his name, Patrick introduces a compact and portable water purification device that utilizes advanced filtration techniques. This breakthrough invention offers a sustainable solution for accessing clean drinking water, irrespective of location.

Latest Patents:

Patrick Hayes holds an impressive total of 17 patents. Two recent patents that showcase his expertise are "Systems and Methods for Implementing an Intelligent Application Program Interface for an Intelligent Optimization Platform" and "Systems and Methods for an Accelerated Tuning of Hyperparameters of a Model Using a Machine Learning-Based Tuning Service." These patents highlight his contribution to the optimization of machine learning models, offering improved accuracy and computational performance.

Career Highlights:

Throughout his career, Patrick Hayes has excelled in his field, making significant strides in various industries. He has worked with renowned organizations such as Sigopt, Inc. and Intel Corporation. Through his innovative contributions, Patrick has helped shape the landscape of intelligent optimization platforms and machine learning tuning services.

Collaborations:

Patrick Hayes has collaborated with notable individuals in his field, further solidifying his reputation as an innovator. Among his esteemed colleagues are Scott Clark and Michael McCourt. Together, they have pushed the boundaries of technological advancements, leveraging their collective expertise to develop groundbreaking solutions.

Conclusion:

Patrick Hayes' compact and portable water purification device is a testament to his dedication to creating innovative solutions that address global challenges. His impressive portfolio of patents, career highlights, and collaborative efforts highlights his capability to drive transformative changes in the field of technology and beyond. Patrick's contributions inspire us to pursue inventive approaches that have a positive impact on society.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
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