Summary
Ivan Daunis is a Staff Machine Learning Engineer and longtime technologist based in the San Francisco Bay Area, bringing 14+ years of hands-on experience building AI-driven, production-grade systems and a career that stretches back to early web and media tooling. He combines deep machine learning and systems engineering expertise with product sensibility, having led engineering teams, designed scalable real-time architectures, and shipped recommendation and analytics platforms used by major retailers and payments products. As a serial builder and CTO, he has repeatedly transformed niche media and streaming challenges into lightweight, high-throughput products (including an optimized 16 KB video player and CDN-backed delivery) and delivered fast time-to-market solutions. Comfortable communicating with executives and cross-functional teams, he blends research-rooted thinking with pragmatic delivery and a knack for inventing compact, efficient software that addresses real customer needs.
14 years of coding experience
22 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The University of Texas at Austin
Unfinished Mathematics, Unfinished Mathematics at Universitat Autònoma de Barcelona
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Western Governors University
English, Spanish, Catalan