Redmond, WA, United States of America

Igor Bragaia

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Igor Bragaia. Retrieved from https://idiyas.com/inventor/igor-bragaia

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

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1 patent (USPTO):Explore Patents

Title: Igor Bragaia and Automated Software Testing.

Introduction

Igor Bragaia is an inventor based in Redmond, Washington, whose patent work addresses the automation of software testing. His disclosed approach uses natural-language input and a generative probabilistic model to help create and implement test cases.

Latest Patents

Bragaia is associated with 1 patent, titled “Automation of Software Test Case Generation and Implementation.” The invention describes a process in which a user provides natural-language descriptions of a software feature and its use cases. A generative probabilistic model, such as a large language model, then produces test cases for evaluating the feature. Contextual input can help constrain the model and promote consistent results. After a user selects a test case, the model generates a software implementation, which can be executed in a testing environment. Log data from that environment is used to process the results.

Career Highlights

Bragaia is associated with Microsoft Technology Licensing, LLC. His patent reflects an application of generative AI to software quality assurance, connecting feature descriptions, test-case generation, implementation, and execution.

Collaborations

The provided information names Judenique Brierna Auguste and Alycia Yohsuan Habo Lee as Bragaia’s coworkers. It does not specify their roles in the patent or the invention.

Conclusion

Igor Bragaia’s patent presents a natural-language-driven approach to generating and implementing software tests, highlighting how generative models can support automated testing workflows.

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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