Nathan Lee

At Fireworks AI, I build production AI workflows across frontend, backend, and platform systems. I designed real-time model-output streaming with WebSockets and Server-Sent Events, so users receive inference results progressively. I've reduced infrastructure costs by approximately 20% while increasing throughput, and built AI pipeline analytics and monitoring that cut debugging and incident-resolution time by more than 50%. I also establish security controls, improve reliability, and maintain sub-second page loads for high-traffic AI query pages. Previously at Ledger, I delivered secure wallet, transaction, and account-management functionality for digital assets. Earlier, I built WebGL virtual try-on and 3D eyewear configuration experiences at Cubitts, and high-traffic airline web applications at Alitalia.