Bengaluru, India

Prateek Mandloi

This inventor holds 1 USPTO granted patent and 9 published patent applications. Top assignee: Atlassian Corporation Pty Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Prateek Mandloi. Retrieved from https://idiyas.com/inventor/prateek-mandloi

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

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Prateek Mandloi and Patent Innovation at Atlassian

Introduction

Prateek Mandloi is an inventor based in Bengaluru, India, and is associated with Atlassian Corporation Pty Ltd. His work includes a patented system designed to help mitigate incidents affecting software application framework deployments.

Latest Patents

Mandloi is credited with 1 patent: “Automated System for Predicting Software Application Framework Deployment Changes for Incident Mitigation.” The invention receives an indication of an incident, extracts related features, and identifies associated data objects. It then uses relation data and a topology graph to generate candidate mitigation predictions, ranks those predictions with ranking models, and selects predictions according to their rank values. The approach is intended to support incident mitigation by identifying relevant deployment changes.

Career Highlights

Mandloi’s patent reflects work at the intersection of software systems, incident analysis, and automated decision support. The system’s use of incident features, data relationships, topology, and ranked predictions offers a structured method for evaluating potential mitigation actions.

Collaborations

Mandloi’s listed coworkers include Atri Mandal and Mayank Sawhney. His association with Atlassian connects his inventive work to a company focused on software products and services.

Conclusion

Prateek Mandloi’s patent describes an automated, data-driven approach to predicting software deployment changes that may help mitigate incidents.

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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