Sachse, TX, United States of America

Chris Vo

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):Explore Patents

Title: Chris Vo - Innovator in Machine Learning

Introduction

Chris Vo is an accomplished inventor based in Sachse, Texas, known for his contributions to the field of machine learning. With a total of three patents to his name, Vo has made significant strides in developing innovative methods for constructing machine learning models.

Latest Patents

Among his latest patents, Vo has focused on methods for initializing configuration files for machine learning models. One example method includes initializing a configuration file in response to a user request, allowing for a customizable experience. The configuration file comprises multiple sections that can be configured by the user. Vo's method involves configuring parameters of a feature engineering rules section based on user-provided values, as well as configuring parameters of an algorithm definitions section. This process culminates in populating the configuration file to generate a machine learning model tailored to the user's specifications.

Career Highlights

Chris Vo is currently employed at AT&T Intellectual Property I, L.P., where he continues to innovate in the realm of technology and machine learning. His work has not only advanced the field but has also contributed to the broader understanding of how machine learning can be effectively utilized in various applications.

Collaborations

Vo collaborates with talented individuals such as Jeremy Fix and Robert Woods, Jr., who share his passion for innovation and technology. Their combined expertise fosters a creative environment that drives forward-thinking solutions in machine learning.

Conclusion

Chris Vo's work in machine learning exemplifies the spirit of innovation and the importance of collaboration in advancing technology. His patents reflect a commitment to enhancing user experience and functionality in machine learning applications.

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