Mountainside, NJ, United States of America

Jonathan Michael Sidhu

This inventor holds 1 USPTO granted patent. Top assignee: Walmart Apollo, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jonathan Michael Sidhu. Retrieved from https://idiyas.com/inventor/jonathan-michael-sidhu

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

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Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Jonathan Michael Sidhu

Introduction

Jonathan Michael Sidhu is an accomplished inventor based in Mountainside, NJ (US). He has made significant contributions to the field of anomaly detection in large-scale production environments. His innovative approach utilizes time-series modeling to enhance operational efficiency and reliability.

Latest Patents

Jonathan holds a patent for "Systems and methods of anomaly detection in large scale production environments using time-series modeling." This patent describes systems and methods for detecting anomalies through a generalized time-series forecasting model. The process involves receiving a time-series dataset and generating a forecast using a trained model that utilizes a fixed set of characteristic features. An initial anomaly determination is made by comparing the forecast to the actual dataset. If an anomaly is identified, a notification is sent to an associated system for further action. He has 1 patent to his name.

Career Highlights

Jonathan is currently employed at Walmart Apollo, LLC, where he applies his expertise in anomaly detection to improve production processes. His work is instrumental in ensuring that large-scale operations run smoothly and efficiently.

Collaborations

Some of Jonathan's notable coworkers include Krishna Koti Keshva Srinivas and Ekta Gujral, who contribute to the innovative environment at Walmart Apollo, LLC.

Conclusion

Jonathan Michael Sidhu's work in anomaly detection through time-series modeling showcases his innovative spirit and dedication to improving production environments. His contributions are valuable assets to the field of technology and operational efficiency.

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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