Boulder, CO, United States of America

Dalmo Cirne

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Workday, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dalmo Cirne. Retrieved from https://idiyas.com/inventor/dalmo-cirne-hhrx7yko

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

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: Dalmo Cirne: Inventor in Machine Learning and Data Matching

Introduction

Dalmo Cirne is an inventor based in Boulder, Colorado, and works at Workday, Inc. His patent work addresses the use of supervised learning to match response data with corresponding requests.

Latest Patents

Cirne is associated with 1 patent: “Correlating Request and Response Data Using Supervised Learning.” The invention describes retrieving a request and multiple responses, forming candidate groups, and generating feature vectors that represent the request and selected responses. A machine-learning model evaluates those vectors to identify a preferred match, after which the associated responses and request can be stored.

Career Highlights

Cirne’s patent reflects an application of machine learning to the practical challenge of connecting requests with relevant responses. The described approach combines candidate generation, feature aggregation, model-based predictions, and selection of an optimal match.

Collaborations

The provided information identifies Jeanette Nguyen and Tim Lee as Cirne’s coworkers at Workday, Inc.

Conclusion

Dalmo Cirne’s patent highlights a supervised-learning method for matching requests and responses, connecting his inventive work with data processing at Workday, Inc.

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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