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For the Inventor, By the Inventor

McLean, VA, United States of America

Minh Le

This inventor holds 22 USPTO granted patents and 3 published patent applications, primarily in Conversational AI. Top assignee: Capital One Services, LLC. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Minh Le. Retrieved from https://idiyas.com/inventor/minh-le-hiz5nf6h

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

USPTO Granted Patents = 22 

% Patents Active = 100.0

Average Co-Inventor Count = 1.9

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • McLean, VA (US) (2022 - 2024)
  • Bentonville, AR (US) (2023 - 2024)

Company Filing History:

goldMedal22 out of 6,858 
 
Capital One Services, LLC
 patents

Years Active: 2022-2026

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Areas of Expertise:
Conversational Responses
Machine Learning
Dynamic Queries
User Intent
Artificial Intelligence
Reinforcement Learning
Deep Learning
Predictive Models
Multi-Modal Regression
Collaborative Filtering
Training Data
State Machine
22 patents (USPTO):Explore Patents
1. 12536383 - Systems and methods for generating dynamic conversational responses based on historical and dynamically updated information (2026-01-27),
2. 12505341 - Methods and systems for dynamically selecting alternative content based on real-time events during device sessions using cross-channel, time-bound deep reinforcement machine learning (2025-12-23),
3. 12468934 - Systems and methods for generating dynamic conversational responses using deep conditional learning (2025-11-11),
4. 12388773 - Systems and methods for generating conversational responses using machine learning models (2025-08-12),
5. 12271798 - Systems and methods for generating training data for sequential conversational responses (2025-04-08),
6. 12260070 - Systems and methods for generating dynamic interface options using machine learning models (2025-03-25),
7. 12182672 - Systems and methods for generating dynamic conversational queries in user interfaces using state machine libraries (2024-12-31),
8. 12131124 - Systems and methods for generating dynamic conversational responses based on predicted user intents using artificial intelligence models (2024-10-29),
9. 12120073 - Systems and methods for generating dynamic conversational responses using ensemble prediction based on a plurality of machine learning models (2024-10-15),
10. 12093969 - Multi-modal regression to predict customer intent to contact a merchant (2024-09-17),
11. 12008329 - Systems and methods for generating dynamic conversational responses through aggregated outputs of machine learning models (2024-06-11),
12. 11997058 - Systems and methods for generating dynamic conversational responses using trained machine learning models (2024-05-28),
13. 11973725 - Systems and methods generating conversational responses using machine learning models (2024-04-30),
14. 11900062 - Systems and methods for generating dynamic conversational responses based on predicted user intents using artificial intelligence models (2024-02-13),
15. 11811708 - Systems and methods for generating dynamic conversational responses using cluster-level collaborative filtering matrices (2023-11-07),

Title: Minh Le: Innovator in Machine Learning Solutions

Introduction

Minh Le is an accomplished inventor based in McLean, VA, known for his significant contributions to the field of machine learning and conversational AI. With an impressive portfolio of 18 patents, Minh has made notable strides in developing innovative solutions that enhance user experience through dynamic interface options and efficient data generation techniques.

Latest Patents

Minh Le's latest patents showcase his expertise in generating training data and creating user-driven interfaces. One noteworthy patent is titled "Systems and methods for generating training data for sequential conversational responses." This invention details methods aimed at alleviating the data collection burden by generating dynamic conversational responses which enrich the machine learning training data set for sequenced interactions. Another significant patent, "Systems and methods for generating dynamic interface options using machine learning models," describes a sophisticated approach for creating real-time interface options that adapt to user intents and goals. This innovative solution leverages various machine learning models, including convolutional neural networks and Weight of Evidence (WOE) analysis, to interpret multi-modal feature inputs effectively.

Career Highlights

Minh Le currently works at Capital One Services, LLC, where he applies his technical acumen in developing advanced machine learning applications. His dedication to research and innovation has established him as a key player in his field. Over the years, Minh has continued to push the boundaries of what is possible with technology, earning recognition within the industry for his groundbreaking work.

Collaborations

Throughout his career, Minh has collaborated with talented professionals such as Rui Zhang and Erik Thomas Mueller. These partnerships have not only fostered innovation but have also allowed his ideas to reach new heights, driving advancements in machine learning and user interface design.

Conclusion

Minh Le's contributions to the realm of machine learning and conversational AI exemplify the impact of innovative thinking in technology. With a robust collection of patents and a commitment to enhancing user experience through intelligent systems, Minh continues to influence the future of conversational technologies and interfaces. His work at Capital One Services, LLC, alongside esteemed colleagues, highlights the collaborative spirit that fuels groundbreaking advancements in the industry.

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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