Milpitas, CA, United States of America

Maneesh Divana

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maneesh Divana. Retrieved from https://idiyas.com/inventor/maneesh-divana

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Maneesh Divana: Inventor in Artificial Intelligence and Computing

Introduction

Maneesh Divana is an inventor based in Milpitas, California, and is associated with PayPal, Inc. His patent work focuses on applying artificial intelligence to identify and address recurring issues in computing environments.

Latest Patents

Divana is named on 1 patent: “Reduce Recurring Issues and Incidents by Remediation Artificial Intelligence.” The invention describes systems and methods that use artificial intelligence models, machine learning, and large language models to analyze issue metrics, identify adverse trends, and determine the root causes of problems across applications and computing devices. It also describes generating recommendations to address those problems and presenting relationships among issues, root causes, impacted areas, and processes in a traversable network graph.

Career Highlights

Divana’s listed patent reflects work on using AI to support incident analysis and remediation in complex computing environments. The approach aims to help organizations understand recurring problems and identify potential corrective actions.

Collaborations

Divana’s listed coworkers include Sneha Venkatachalam and Jacqueline Lanxin Gao. The patent describes a system involving multiple AI models and computing components, though the provided information does not specify each coworker’s role.

Conclusion

Maneesh Divana’s patent work centers on using AI to trace recurring computing issues to their causes and recommend remediation, highlighting an application of artificial intelligence to operational reliability.

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]
Loading…