Biography

As an ML Engineer at Netflix, I focus on making foundation models faster and more efficient. I evaluate these models from a systems perspective and optimize our evaluation workflows so that we can rapidly improve recommendations for our 300 million users worldwide.

I’ve spent my career moving between ML algorithms and the hardware to streamline performance. I’ve stabilized homepage recommendation engines at scale, optimized AI assistant workloads to slash costs, and implemented holistic ML system improvements. Looking ahead, I’m increasingly interested in how hardware-software co-design can push the boundaries of performance, whether in large-scale distributed systems or resource-constrained edge environments.

My foundation includes a master’s degree in Artificial Intelligence from the University of Amsterdam and early professional experience in edge computer vision in Spain.