About

I am a Machine Learning / Research Engineer currently working at Netflix. I have a disproportionate passion about computer vision and diffusion-based generative models.

I am currently focused on the data infrastructure to create large multimodal datasets for Studio and Content Promotion and Production. Previously he worked also at Netflix optimizing performance for training and inference within the Machine Learning Platform at Netflix, which powers personalized recommendation algorithms and content/media production.

Prior to Netflix, I contributed to the recommendation systems stack at OpenTable, focusing on personalized restaurant recommendations.

I have a formal education degree in Mathematics and Computer Science from University College London, where I specialized in graph-based methods for collaborative filtering.