This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignees: Capital One Financial Corporation, Discover Financial Services LLC. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2025-2026
Title: Kenrick Fernandes: Innovator in Deep Learning and Data Analysis
Introduction
Kenrick Fernandes is a notable inventor based in Wheeling, IL (US). He has made significant contributions to the fields of deep learning and data analysis, holding 3 patents that showcase his innovative approach to technology.
Latest Patents
One of Kenrick's latest patents is focused on building and executing deep learning-based data pipelines. This invention involves a computing platform that receives configuration data to define a pipeline for constructing a deep learning model. The platform processes input datasets, applies data transformations, and utilizes machine learning processes to train the model effectively.
Another significant patent is related to computer systems and methods for building and analyzing data graphs. This invention allows a computing platform to obtain an input dataset and construct a graph from it. It generates embedding vectors using different techniques to enhance predictions made by data science models.
Career Highlights
Kenrick has worked with prominent companies such as Discover Financial Services LLC and Capital One Financial Corporation. His experience in these organizations has contributed to his expertise in data-driven technologies and innovative solutions.
Collaborations
Kenrick has collaborated with talented individuals in his field, including Arjun Ravi Kannan and Ashkan Golgoon. These collaborations have likely enriched his work and led to further advancements in his projects.
Conclusion
Kenrick Fernandes is a distinguished inventor whose work in deep learning and data analysis has led to valuable patents. His contributions continue to influence the technology landscape, showcasing the importance of innovation in today's data-driven world.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile