Summary
Javair Ratliff is a founder and engineer who builds systems that help machines understand the world, combining hands-on ML engineering with product-focused infrastructure work. Over six years he’s shipped end-to-end solutions—from real-time computer vision at the National Museum of Mathematics to cost-optimized on-prem ML hardware and APIs at a startup. As Co-Founder of The Emergence Project he supports research in under-explored tech areas where traditional funding is scarce, blending technical depth with mission-driven strategy. He has practical cloud and DevOps experience (AWS, DigitalOcean, auto-scaling, monitoring) and a knack for making complex systems “set-it-and-forget-it.” During COVID-19 he rapidly delivered SMS screening tools and helped institutions pivot to virtual events, showing an ability to move from prototype to production under pressure. He’s the sort of engineer who happily “fights with computers” until they do useful things.
7 years of coding experience
2 years of employment as a software developer