Dublin, CA, United States of America

Yogesh Jadhav

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yogesh Jadhav. Retrieved from https://idiyas.com/inventor/yogesh-jadhav

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yogesh Jadhav: Inventor in Observability Visualization

Introduction

Yogesh Jadhav is an inventor based in Dublin, California. His work includes a patent for techniques that bring metric data and related logs together in a dashboard, helping users examine system observability information in context.

Latest Patents

Jadhav is associated with 1 patent, titled “Techniques for Metric and Logs Visualization.” The invention describes receiving event logs from a monitored system and a metric computed from observability data by another system. It identifies log events corresponding to the metric and its associated data, then presents both in separate sections of a dashboard at the same time.

Career Highlights

Jadhav is associated with Cisco Technology, Inc. His patented work focuses on presenting metrics and relevant event logs together, supporting a more connected view of monitored systems.

Collaborations

Jadhav’s listed coworker is Daniel Kent Ferguson. The patent’s described approach involves coordinating metric information from one system with event logs received by another.

Conclusion

Yogesh Jadhav’s patent addresses observability by displaying metrics and related logs concurrently, making their relationship easier to inspect within a single dashboard.

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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