Ryan de Marigny is a Senior Machine Learning Engineer and former Senior Software Engineer in Test at Zefr, specializing in designing and implementing containerized software quality applications for multi-interface integration testing and machine learning model inference. With prior experience as a QA Engineer at Templum, Inc. and a QA Automation Engineer at SpotOn, Ryan has developed automated testing frameworks for microservice APIs and integrated testing into CI/CD pipelines using Python and Azure DevOps. Ryan's career began as a Software QA at Owned Outcomes, where frameworks for regression and smoke testing were created. Ryan holds a Master of Science in Computer Science from the Georgia Institute of Technology and a Bachelor of Science in Information Systems from the University of Nevada, Reno.
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