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For the Inventor, By the Inventor

New York, NY, United States of America

Christopher Thomas Paquette

This inventor holds 5 USPTO granted patents and 1 published patent application. Top assignee: Deepintent, Inc.. Active years: 1993-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christopher Thomas Paquette. Retrieved from https://idiyas.com/inventor/christopher-thomas-paquette

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

USPTO Granted Patents = 5 

% Patents Active = 100.0

Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 6(Granted Patents)


Location History:

  • Bellows Falls, VT (US) (1993)
  • New York, NY (US) (2021 - 2023)

Company Filing History:

goldMedal4 out of 13 
 
Deepintent, Inc.
 patents
where one patent can have more than one assignee

Years Active: 1993-2023

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5 patents (USPTO):Explore Patents
1. 11841976 - Utilizing a protected server environment to protect data used to train a machine learning system (2023-12-12),
2. 11475155 - Utilizing a protected server environment to protect data used to train a machine learning system (2022-10-18),
3. 11449632 - Utilizing a protected server environment to protect data used to train a machine learning system (2022-09-20),
4. 11210424 - Utilizing a protected server environment to protect data used to train a machine learning system (2021-12-28),
5. D335688 - Aerial toy (1993-05-18),

Title: Innovations by Christopher Thomas Paquette

Introduction

Christopher Thomas Paquette is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of machine learning and data protection, holding a total of 5 patents. His work focuses on utilizing protected server environments to enhance the security of data used in training machine learning systems.

Latest Patents

One of his latest patents involves a computer-implemented method for storing media items within a protected environment. This method includes receiving requests from external devices to send specific media items while ensuring that the data remains secure. The system computes likelihood values associated with various status values and selects media items based on these computations. Another patent describes systems and methods for protecting personal data records during the training of machine learning systems. This involves generating unique identifiers for each record and encrypting the data to maintain confidentiality.

Career Highlights

Christopher is currently employed at DeepIntent, Inc., where he continues to innovate in the realm of data security and machine learning. His expertise in these areas has positioned him as a valuable asset to his company and the broader tech community.

Collaborations

He collaborates with talented individuals such as Vaso Dakic and Kelly Harold Patrick Gerritz, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Christopher Thomas Paquette's work exemplifies the intersection of technology and data security, making significant strides in the field of machine learning. His contributions are paving the way for more secure and efficient systems in the future.

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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