Summary
George Mazzeo is a data-centric software engineer at BlackLocus (Home Depot Innovation Labs) with nine years of experience building data pipelines, microservices, and AI models. He specializes in Python and containerized deployments, currently migrating data collection and processing workloads to Google Kubernetes Engine while comfortable across Java, Go, JavaScript, and C#. TensorFlow Developer Certified, he works across NLP, forecasting, image processing, data cleaning, and visualization to turn large datasets into actionable competitive intelligence. A self-starter who began coding in high school and maintains a personal project (cupofgeo.com), he pairs hands-on engineering with continuous learning through Coursera and practical experimentation. Based in Austin, he balances rigorous technical work with creative interests like guitar and longboarding, bringing curiosity and persistence to production ML systems.
9 years of coding experience
Bachelor’s Degree, Computer Science and Engineering, First-Year, Bachelor’s Degree, Computer Science and Engineering, First-Year at Bucknell University