Summary
Charles Song is a senior technology leader and distinguished engineer who builds enterprise-scale machine learning platforms and advances software engineering practices across Capital One. With a Ph.D. in computer science and 12+ years of experience, he blends applied research, hands-on architecture, and rapid prototyping to turn emerging ML technologies into production-ready solutions for banking and back-office automation. He has led cross-functional design councils, authored a practical AWS AI book, and taught software engineering and cybersecurity—bringing both academic rigor and pragmatic delivery to large programs. Known for coaching teams in APIs, microservices, and engineering excellence, he favors elegant, maintainable designs and measurable impact. An often-overlooked strength is his track record in rapid prototyping for diverse domains (from NASA testing to intelligent document processing), which helps de-risk innovation at scale.
12 years of coding experience
19 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at University of Maryland
English, Chinese