Chennai, TN, United States of America

Saumitra Vikram

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: The Innovations of Saumitra Vikram

Introduction

Saumitra Vikram is an accomplished inventor based in Chennai, TN. He has made significant contributions to the field of machine learning, particularly through his innovative patent. His work exemplifies the intersection of technology and practical applications, showcasing the potential of serverless computing in machine learning.

Latest Patents

Saumitra Vikram holds a patent for a groundbreaking invention titled "Machine learning using serverless compute architecture." This patent describes a serverless computing system designed to provide access to a machine learning model. The system is configured to associate an endpoint, which includes code that accesses the machine learning model, with an extension that interfaces between the serverless compute architecture and the endpoint. When a request for inference is received, the system processes it using the serverless compute architecture to execute a compute function. This function enables the extension to interface with the endpoint, allowing the machine learning model to perform the necessary inference.

Career Highlights

Saumitra Vikram is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of technology. His work at Amazon has allowed him to explore innovative solutions and contribute to the advancement of machine learning technologies.

Collaborations

Some of Saumitra's notable coworkers include Maximiliano Maccanti and Gowda Dayananda Anjaneyapura Range. Their collaboration fosters a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Saumitra Vikram's contributions to machine learning through his patent and work at Amazon Technologies, Inc. highlight his role as a significant innovator in the tech industry. His advancements in serverless computing architecture pave the way for future developments in machine learning applications.

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