Fremont, CA, United States of America

Sundeep Singam Setty

This inventor holds 3 USPTO granted patents. Top assignee: Cisco Technology, Inc.. Active years: 2022-2026.


% Patents Active = 66.7

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2022-2026

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3 patents (USPTO):Explore Patents

Title: Innovations by Sundeep Singam Setty

Introduction

Sundeep Singam Setty is an accomplished inventor based in Fremont, CA. He has made significant contributions to the field of networked computing environments, holding a total of 3 patents. His work focuses on enhancing data flow analytics and improving network performance.

Latest Patents

Sundeep's latest patents include innovative techniques for determining packet path visibility, packet drops, and latency measurements associated with data flows. These techniques involve receiving flow data related to a data flow and determining the packet path, which indicates the configuration of leaf switches in a service chain device. Additionally, he has developed methods for calculating latency based on timestamp data, which records the times when packets are sent and received. Another notable patent addresses end-to-end data flow analytics in a network that includes various network appliances. This system analyzes network information and aggregates flow data to provide insights into performance parameters.

Career Highlights

Sundeep Singam Setty is currently employed at Cisco Technology, Inc., where he continues to innovate and contribute to advancements in network technology. His expertise in data flow analytics has positioned him as a valuable asset in the tech industry.

Collaborations

Sundeep has collaborated with talented individuals such as Sonu Kumar Khandelwal and Hasmit S Grover, further enhancing the innovative projects he has been involved in.

Conclusion

Sundeep Singam Setty's work exemplifies the spirit of innovation in the field of networked computing. His patents reflect a commitment to improving data flow visibility and performance in complex network environments.

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