Spring, TX, United States of America

Thejas Narayana Prasad

USPTO Granted Patents = 6 

Average Co-Inventor Count = 6.7

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2022-2025

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Thejas Narayana Prasad: Innovator in Federated Machine Learning

Introduction

Thejas Narayana Prasad, an accomplished inventor based in Spring, TX, has made significant contributions to the field of machine learning with a total of six patents to his name. His innovative approaches focus on federated machine learning, which has become increasingly vital as organizations strive to protect sensitive data while still benefiting from collective intelligence.

Latest Patents

One of Thejas's latest patents is titled "Federated machine-learning platform leveraging engineered features based on statistical tests." This patent outlines a sophisticated process that includes the transmission of data tokens between various nodes in a federated machine-learning model, ensuring that relevant data is utilized for machine learning purposes. The process involves determining the relevance of data tokens and constructing a training set that can enhance the model's performance effectively.

Another notable patent is "Privacy and proprietary-information preserving collaborative multi-party machine learning." This patent describes a method for sharing information among multiple parties or systems in a way that safeguards sensitive details that may be subject to legal or regulatory restrictions. This is critical for maintaining privacy while enabling advanced modeling and decision-making.

Career Highlights

Thejas currently works at Cerebri AI Inc., where he applies his expertise in machine learning to create cutting-edge solutions. His work not only exemplifies innovation but also demonstrates a commitment to privacy and ethical considerations in technology.

Collaborations

Throughout his career, Thejas has collaborated with talented professionals, including Alain Charles Briancon and Jean Joseph Belanger. These partnerships underscore the importance of teamwork in advancing technological developments and highlight Thejas's ability to work effectively within a collaborative environment.

Conclusion

Thejas Narayana Prasad stands out as a remarkable inventor in the realm of machine learning, particularly in federated systems that prioritize data privacy. With a robust portfolio of patents and a focus on impactful innovations, he continues to contribute significantly to the evolving landscape of technology.

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