Sammamish, WA, United States of America

Archanan Padmasenan

This inventor holds 1 USPTO granted patent. Top assignee: Cisco Technology, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Archanan Padmasenan. Retrieved from https://idiyas.com/inventor/archanan-padmasenan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Archanan Padmasenan: Innovator in Metric Time Series Data Storage

Introduction

Archanan Padmasenan is a notable inventor based in Sammamish, WA (US). He has made significant contributions to the field of data storage and analytics, particularly in the area of metric time series data.

Latest Patents

Archanan holds a patent for "Full fidelity storage of metric time series data." This patent describes techniques for aggregating metric time series data upon ingestion, which can enhance the efficiency of data processing. The disclosed techniques transform metric time series data into aggregated forms, optionally reducing complexity or dimensionality while retaining essential statistical information from the original data. The aggregated data can be utilized similarly to the original metric time series data for various applications, including streaming analytics and event triggering.

Career Highlights

Archanan Padmasenan is currently employed at Cisco Technology, Inc., where he applies his expertise in data quantization and analytics. His work focuses on improving data handling techniques that are crucial for modern data-driven applications.

Collaborations

Some of Archanan's coworkers include Jay Robert Camp and Bogdan Cristian Drutu, who contribute to the innovative environment at Cisco Technology, Inc.

Conclusion

Archanan Padmasenan's work in metric time series data storage exemplifies the importance of innovation in data analytics. His contributions are paving the way for more efficient data processing techniques in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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