Drake Loud is a Senior Data Scientist with 10 years of experience blending machine learning, cloud architecture, and serverless engineering to turn ideas into practical, production-ready systems. He has shipped high-impact ML models and GenAI prototypes at Capital One, migrated deployment platforms to Kubernetes/Argo, and built serverless services handling over a million daily requests. Comfortable across front-end and back-end stacks, he also runs a web development side business that redesigned healthcare sites and drove measurable patient growth. A Georgia Tech MS in CS (ML) and a background in information systems give him both algorithmic depth and product-minded execution. Based in Chicago but raised in a small Utah ski town, he pairs a practical, applied-technology mindset with a curiosity for blogging and community-driven innovation.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science Specialization in Machine Learning, Master of Science - MS Computer Science Specialization in Machine Learning at Georgia Institute of Technology
Master’s Degree Information Systems Management, Master’s Degree Information Systems Management at Brigham Young University Marriott School of Business
Bachelor’s Degree Information Systems, Bachelor’s Degree Information Systems at Brigham Young University
Contributions:3 PRs, 18 pushes, 2 branches in 6 years 2 months
bluecollar
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