Summary
Daval Cato is a results-driven technology leader and CTO based in Los Angeles with 11 years of experience building scalable iOS and AI-driven systems. He blends deep mobile engineering expertise (Swift, SwiftUI, Objective-C) with hands-on machine learning and reinforcement learning work—designing data pipelines, training agents, and integrating Core ML for production apps. As CTO at EyeAeon he focuses on AI authenticity detection across text, image, video and audio, and previously led ML infrastructure and RL research at Me2 software. His background includes senior engineering roles at NBC News and DIRECTV where he architected resilient backend services, applied TDD, and optimized performance at scale. Daval pairs strong academic foundations (USC MCA/CS) with practical open-source and cloud experience, making him equally fluent in product delivery and research-driven innovation. An uncommon strength is his ability to bridge low-level iOS performance tuning with large-scale distributed training workflows.
11 years of coding experience
12 years of employment as a software developer
Master of Computer Applications - MCA, Bachelor of Science Degree in Computer Science, Master of Computer Applications - MCA, Bachelor of Science Degree in Computer Science at University of Southern California
Artificial Intelligence, Artificial Intelligence at Coursera
Chinese, Spanish