Seattle, WA, United States of America

Ragav Venkatesan


Average Co-Inventor Count = 4.1

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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7 patents (USPTO):

Title: Innovations of Ragav Venkatesan

Introduction

Ragav Venkatesan is a prominent inventor based in Seattle, WA, known for his significant contributions to the field of machine learning and neural networks. With a total of seven patents to his name, he has made remarkable strides in enhancing the efficiency and performance of trained neural networks.

Latest Patents

One of Ragav's latest patents is focused on "Searching compression profiles for trained neural networks." This innovation allows for an iterative search of compression profiles in response to specific requests. By generating different prospective compression profiles, the performance of compressed versions of trained neural networks can be tracked and optimized based on established performance criteria. Another notable patent is titled "Zero-shot transfer of domain-adapted base networks." This technique describes methods for zero-shot and few-shot transfer of domain-adapted networks, utilizing a shared base feature extractor network to train multiple machine learning task layers.

Career Highlights

Ragav currently works at Amazon Technologies, Inc., where he applies his expertise in machine learning to develop cutting-edge technologies. His work has been instrumental in advancing the capabilities of neural networks, making them more adaptable and efficient.

Collaborations

Ragav collaborates with talented individuals such as Gurumurthy Swaminathan and Xiong Zhou, contributing to a dynamic and innovative work environment.

Conclusion

Ragav Venkatesan's contributions to the field of machine learning and neural networks exemplify the spirit of innovation. His patents reflect a commitment to enhancing technology and improving performance in complex systems.

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