Summary
Paul Devos is a Machine Learning Engineer with 11 years of experience specializing in data and AI engineering, blending Python expertise with practical applications in sports analytics, NLP, computer vision, and YOLO-based object detection. Based in Frisco, Texas, he excels at translating business needs into strategic ML solutions, drawing on a background as a solutions architect to bridge product, data, and engineering teams. His personal interests in NBA history and behavioral economics inform creative modeling approaches and domain-aware features that boost real-world performance. Comfortable across the ML stack, he ships production-ready pipelines and models while staying hands-on in data engineering and model deployment. Known for combining quantitative rigor with a product-focused mindset, he seeks opportunities where analytics drive competitive advantage.
11 years of coding experience