Saratoga, CA, United States of America

John C Reed

This inventor holds 14 USPTO granted patents and 22 published patent applications. Top assignees: Splunk Inc., Cisco Technology, Inc., Other. Active years: 1985-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: John C Reed. Retrieved from https://idiyas.com/inventor/john-c-reed-k51isfem

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

USPTO Granted Patents = 14 

% Patents Active = 100.0

Average Co-Inventor Count = 2.8

ph-index = 7

Forward Citations = 348(Granted Patents)


Location History:

  • Lancaster, PA (US) (1985)
  • Fairfax, CA (US) (2004 - 2005)
  • Saratoga, CA (US) (2022 - 2024)

Company Filing History:

goldMedal10 out of 1,856 
 
Splunk Inc.
 patents
silverMedal1 out of 21,378 
 
Cisco Technology, Inc.
 patents
bronzeMedal1 out of 834,513 
Other
 patents
where one patent can have more than one assignee

Years Active: 1985-2025

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14 patents (USPTO):Explore Patents

Title: John C Reed: Innovator in Machine Learning Technologies

Introduction

John C Reed is a prominent inventor based in Saratoga, California, known for his significant contributions to the field of machine learning. With a total of 14 patents to his name, Reed has developed innovative solutions that enhance the security and efficiency of machine learning applications.

Latest Patents

Among his latest patents, Reed has introduced systems and methods for securing untrusted code. This computer-implemented method involves receiving a request to store a representation of a machine learning (ML) model in a non-transitory computer-readable medium. The process includes validating the representation of the ML model and storing it securely. The representation may take the form of a computation graph, which is a format for representing ML models through a defined common set of operators and a common file format. The validation process ensures that the input schema of the representation is compatible with that of the ML model. Additionally, the method includes deserializing the representation, with successful deserialization indicating that the model is valid and secure.

Another notable patent focuses on the auto-deployment of a machine learning component within a pipelined search query. This method identifies a sequence of operators associated with a query, including at least a first and a second operator. The second operator is designed to perform operations based on a machine learning component using data from the first operator. The method retrieves schemas associated with the machine learning component and other operators, determining compatibility between the output schema of the first operator and the input schema of the second operator. This process allows for efficient storage and subsequent use of the sequence of operators.

Career Highlights

Reed has worked with notable companies, including Splunk Inc., where he has applied his expertise in machine learning technologies. His work has significantly impacted the development of secure and efficient systems for processing machine learning models.

Collaborations

Throughout his career, Reed has collaborated with talented individuals such as Amir Malekpour and Chinmay Madhav Kulkarni, contributing to the advancement of machine learning technologies.

Conclusion

John C Reed is a distinguished inventor whose work in machine learning has led to innovative patents that enhance the security and efficiency of ML applications. His contributions continue to shape the future of technology in this rapidly evolving field.

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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