Summary
Samuel Scarano is a Data Science Lead in New York with a decade of experience building production-ready ML and AI systems that emphasize engineering best practices, maintainability, and scalability. He has progressed from research roles to senior MLOps and machine learning engineering positions, delivering complex solutions such as a 380-class retail product classifier and cost-efficient labeled-data pipelines. Samuel combines deep technical chops in Python, TensorFlow, ETL modernization, and search scalability with practical MLOps execution at startups and agencies. Notably, he has a background spanning health informatics and research labs, and holds CS degrees from Cornell and Northeastern, which underpin his ability to bridge rigorous engineering and pragmatic product delivery.
10 years of coding experience
12 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Cornell University
Master’s Degree Computer Science, Master’s Degree Computer Science at Northeastern University