Christopher Mays

Principal AI Architect

Ph.D., Carnegie Mellon University; Certified Machine Learning Engineer (CMLE)

15+ years experience

Christopher Mays is a Principal AI Architect at CogniSense Labs, bringing over 15 years of dedicated experience to the field of AI applications. He earned his Ph.D. in Computer Science from Carnegie Mellon University, focusing his doctoral research on reinforcement learning for complex systems. Prior to CogniSense Labs, Mays served as a Senior AI Engineer at NexusPoint Financial, where he was instrumental in architecting their industry-leading predictive analytics engine, which achieved a 40% reduction in fraud detection times. His professional philosophy centers on demystifying AI, making its powerful capabilities accessible and actionable for businesses of all sizes. Readers can expect his articles to provide clear, actionable insights into AI deployment strategies, ethical considerations, and practical MLOps best practices, grounded in real-world case studies and cutting-edge research. He is a strong advocate for transparent and responsible AI development

Articles by Christopher Mays

AI Applications

Entity Optimization: Why Keywords Fail in 2026

There’s a staggering amount of misinformation circulating about how search engines truly understand information, leading many businesses down ineffective paths. Understanding entity optimization matters more…

Christopher Mays · · 8 min read
AI Applications

AEO: Winning Google Answers in 2026

The rise of sophisticated search algorithms and AI-powered interfaces has fundamentally shifted how users find information online. No longer content with a list of blue…

Christopher Mays · · 10 min read