Ellicott City, MD, United States of America

Stephen Michelotti



Average Co-Inventor Count = 4.8

ph-index = 1


Company Filing History:


Years Active: 2020-2023

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5 patents (USPTO):

Title: The Innovative Contributions of Stephen Michelotti

Introduction

Stephen Michelotti is a notable inventor based in Ellicott City, MD (US). He has made significant contributions to the field of distributed computing and synthetic data systems. With a total of five patents to his name, Michelotti's work is at the forefront of technological advancements.

Latest Patents

Michelotti's latest patents include a "Distributed computing system with a crowdsourcing engine." This invention provides various embodiments, methods, and systems for implementing a distributed computing system crowdsourcing engine. Initially, a source asset is received from a distributed synthetic data as a service (SDaaS) crowdsource interface. A crowdsource tag is received for the source asset via the distributed SDaaS crowdsource interface. Based in part on the crowdsource tag, the source asset is ingested. Ingesting the source asset comprises automatically computing values for asset-variation parameters of the source asset. The asset-variation parameters are programmable for machine learning. A crowdsourced synthetic data asset comprising the values for asset-variation parameters is generated.

Another significant patent is the "Distributed computing system with a synthetic data as a service scene assembly engine." This invention also provides various embodiments, methods, and systems for implementing a distributed computing system scene assembly engine. Initially, a selection of a first synthetic data asset and a selection of a second synthetic data asset are received from a distributed synthetic data as a service (SDaaS) integrated development environment (IDE). A synthetic data asset is associated with asset-variation parameters and scene-variation parameters, which are programmable for machine learning. Values for generating a synthetic data scene are received, corresponding to asset-variation parameters or scene-variation parameters. Based on these values, the synthetic data scene is generated using the first and second synthetic data assets.

Career Highlights

Stephen Michelotti is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in distributed computing and synthetic data systems to drive innovation within the company. His contributions have been instrumental in advancing the capabilities of synthetic data technologies.

Collaborations

Michelotti has collaborated with notable colleagues, including Kamran Rajabi Zargahi and Michael Ebstyne. Their combined efforts have led to significant advancements in their respective fields.

Conclusion

Stephen Michelotti's innovative work in distributed computing and synthetic data systems has made a lasting impact on technology.

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