Round Rock, TX, United States of America

Thiagarajan Ramakrishnan

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Thiagarajan Ramakrishnan: Innovator in Container Security and Machine Learning

Introduction

Thiagarajan Ramakrishnan is a notable inventor based in Round Rock, TX (US). He has made significant contributions to the fields of container security and machine learning. With a total of 2 patents, his work reflects a commitment to advancing technology in these areas.

Latest Patents

Ramakrishnan's latest patents include "Automated Container Security" and "Machine Learning Development Hub." The "Automated Container Security" patent describes architectures and techniques that automate security elements for applications deployed on a container orchestration platform. This innovation enhances awareness of container product security, automates the detection of security vulnerabilities, and streamlines processes for mitigating these vulnerabilities. The "Machine Learning Development Hub" patent focuses on a platform that supports various stages of machine learning development. It includes translation functions to convert inputs for compatibility with other machine learning platforms and ensures secure communications through encryption.

Career Highlights

Ramakrishnan is currently employed at Dell Products Inc., where he applies his expertise in developing innovative solutions. His work at Dell has positioned him as a key player in the advancement of technology related to security and machine learning.

Collaborations

Some of his coworkers include Leandro Lopes and Francisco Garcia Montemayor. Their collaboration contributes to the innovative environment at Dell, fostering the development of cutting-edge technologies.

Conclusion

Thiagarajan Ramakrishnan's contributions to container security and machine learning exemplify his innovative spirit and dedication to technology. His patents reflect a forward-thinking approach that addresses current challenges in these fields.

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