Toronto, Canada

Abdollah Bashir

This inventor holds 1 USPTO granted patent. Top assignee: Pagerduty, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Abdollah Bashir. Retrieved from https://idiyas.com/inventor/abdollah-bashir

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Abdollah Bashir: Innovator in Incident Management Technology

Introduction

Abdollah Bashir is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of incident management through his innovative patent. His work focuses on enhancing the efficiency of generating reports related to incident events in computer systems.

Latest Patents

Abdollah Bashir holds a patent for a method titled "Automatically generating reports of incident events." This computer-implemented method utilizes one or more processors of an incident management system. It involves accessing data sets associated with an incident event, generating prompts for a machine-learning model, and outputting a comprehensive report that includes an analysis of the incident event. This innovation aims to streamline the reporting process and improve incident management.

Career Highlights

Abdollah Bashir is currently employed at PagerDuty, Inc., where he applies his expertise in incident management technology. His role involves leveraging his patent to enhance the company's offerings in incident response and management solutions.

Collaborations

Abdollah has collaborated with talented individuals such as Leeor Engel and Max Li. These collaborations have contributed to the development and refinement of innovative solutions in the field.

Conclusion

Abdollah Bashir's contributions to incident management technology through his patent demonstrate his commitment to innovation. His work not only enhances the efficiency of incident reporting but also showcases the potential of machine learning in improving operational processes.

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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