Agoura Hills, CA, United States of America

Ankur Pankaj Sheth


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ankur Pankaj Sheth: Innovator in Distributed Computing Systems

Introduction

Ankur Pankaj Sheth is a notable inventor based in Agoura Hills, California. He has made significant contributions to the field of distributed computing systems. His innovative work focuses on enhancing the efficiency and effectiveness of data flows in complex computing environments.

Latest Patents

Ankur holds a patent for "Systems and methods for emulating and testing data flows in distributed computing systems." This patent describes methods, systems, and computer-readable media for emulating and testing data flows in distributed computing systems. The invention includes a workload abstractor that receives monitored traffic in a distributed computing system performing a machine learning task. It generates a test environment-agnostic workload model for the machine learning task and stores it in a workload model repository. The system also features a test controller that selects a test case for the machine learning task and executes it by translating the workload model into a testbed-specific workload model. This process allows for the reporting of performance metrics based on the execution of the test case.

Career Highlights

Ankur is currently employed at Keysight Technologies, Inc., where he applies his expertise in distributed computing. His work at Keysight Technologies has allowed him to further develop his skills and contribute to innovative projects in the tech industry.

Collaborations

Ankur has collaborated with talented individuals such as Winston Wencheng Liu and Konstantin Belov. These collaborations have enriched his work and fostered a creative environment for innovation.

Conclusion

Ankur Pankaj Sheth is a distinguished inventor whose work in distributed computing systems has the potential to transform how data flows are managed and tested. His contributions are paving the way for advancements in machine learning and computing efficiency.

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