Noel Castillo is a software engineer with eight years of experience building and debugging backend systems using Java, Python, and Scala, currently contributing at Lockheed Martin. He brings strong hands-on knowledge of open-source machine learning frameworks and practical DevOps experience from four years at AAA, bridging model development and production deployment. Noel’s career spans enterprise engineering roles and early-career project work at Wipro, giving him a disciplined approach to reliability and scale. Based in the Dallas–Fort Worth area, he combines a Computer Science degree from Loyola University Chicago with a knack for translating complex algorithms into maintainable production code. An understated strength is his cross-functional perspective—rooted in both resident leadership and operations—that helps him align engineering solutions with team and organizational needs.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Loyola University Chicago
The ancient Greek Olympics had events for both chariot and mounted horse racing. Since the ancient sport was conceived not much has changed but how bets are placed. Using today's machine learning, our team, bet on us, will be using from models from the skilearn library to determine what are the best features and horses to bet on.
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Noel Castillo - Software Engineer at Lockheed Martin