Raf Laus

My mental model comes from biology. Before design, I mapped human metabolic pathways and studied how interconnected networks adapt under stress. That foundation shaped how I think about products: as systems with dependencies, feedback loops, and failure modes, not as collections of screens.

Over the last decade I've applied that model across some of the hardest problems in enterprise and government: multi-modal conversational interfaces on federated LLMs, end-to-end IoT connectivity, e-commerce platforms moving $50M a quarter, and field research on laboratory systems deployed across Mauritius, Côte d'Ivoire, Haiti, and Vietnam. The domain changes; the principles don't. Design for complexity, consequence, and trade-offs that don't resolve cleanly.

Today I design AI-native experiences where human and machine intelligence converge under real constraints. I set design direction, build operational frameworks, author the systems teams build on, and mentor designers from junior to senior. I care most about durable practice: work that's still load-bearing years after it ships.