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Nicholas Schenone

MLOps Solutions Architect

Iguazio (Acquired by McKinsey)

Country or State

United States

Bio

Machine learning, data science, and MLOps enthusiast with experience across multiple domains including fraud detection, natural language processing, computer vision, and data mining. My various professional and personal projects include deployments on AWS, GCP, and Azure as well as on-premise Kubernetes architecture from scratch. In addition to business use cases, I have worked on creative applications of ML such as song lyric generation in the style of musical artists and generative art using state of the art text-to-image algorithms. I hold a BSc in Cognitive Science with a specialization in ML and Neural Computation from University of California, San Diego.

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Current Position

MLOps Solutions Architect at Iguazio (Acquired by McKinsey)

Degrees

Cognitive Science, Machine Learning and Neural Computation

Skills