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For the Inventor, By the Inventor

Los Angeles, CA, United States of America

Neil Shah

This inventor holds 11 USPTO granted patents and 3 published patent applications. Top assignee: Snap Inc.. Active years: 2021-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Neil Shah. Retrieved from https://idiyas.com/inventor/neil-shah

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

USPTO Granted Patents = 11 

% Patents Active = 100.0

Average Co-Inventor Count = 1.9

ph-index = 4

Forward Citations = 36(Granted Patents)


Company Filing History:

goldMedal11 out of 3,810 
 
Snap Inc.
 patents

Years Active: 2021-2025

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11 patents (USPTO):Explore Patents
1. 12367693 - Messaging system for engagement analysis based on labels (2025-07-22),
2. 12278832 - Detecting anomalous resources and events in social data using a trained anomaly detector (2025-04-14),
3. 12170683 - Suspicious group detection (2024-12-17),
4. 12088613 - Machine learning powered authentication challenges (2024-09-10),
5. 11863575 - Suspicious group detection (2024-01-02),
6. 11816906 - Messaging system for engagement analysis based on labels (2023-11-14),
7. 11641368 - Machine learning powered authentication challenges (2023-05-02),
8. 11637848 - Level of network suspicion detection (2023-04-25),
9. 11349857 - Suspicious group detection (2022-05-31),
10. 11212303 - Detecting anomalous resources and events in social data (2021-12-28),
11. 11190534 - Level of network suspicion detection (2021-11-30),

Title: The Innovative Contributions of Neil Shah

Introduction

Neil Shah is a prominent inventor based in Los Angeles, California. He has made significant contributions to the field of technology, particularly in messaging systems and social data analysis. With a total of 11 patents to his name, Shah continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is a messaging system for engagement analysis based on labels. This system performs engagement analysis by associating labels with content items produced by users. It processes images to identify elements and determine when to associate a label with an image. The system also calculates engagement scores based on user interactions, allowing for trend analysis in engagement. Another notable patent involves detecting anomalous resources and events in social data using a trained anomaly detector. This system receives multiple events associated with resources and detects anomalies, displaying them through an interface on a computing device.

Career Highlights

Neil Shah is currently employed at Snap Inc., where he applies his expertise in developing innovative solutions. His work has significantly impacted the way users interact with messaging systems and social data.

Collaborations

Shah collaborates with talented individuals such as Hamed Nilforoshan-Dardashti and Mingyi Zhao, contributing to a dynamic and innovative work environment.

Conclusion

Neil Shah's contributions to technology through his patents and work at Snap Inc. highlight his role as a leading inventor in the field. His innovative solutions continue to shape the future of messaging systems and social data analysis.

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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