Luca is a Software Developer at Booking.com in Amsterdam. He is currently working to leverage infrastructure and improve tooling to help internal teams taking advantage of machine learning techniques at scale. Previously, he contributed to the implementation and deployment of an engine to flag fraudulent attempts of payment on the B.com platform. Prior to Booking.com, Luca had a six months internship in Amazon in the localization team and before that he studied Computer Science in Milan. During that time he developed Grab’n Run, a library to secure and simplify dynamic code loading in Android apps.
Scaling Machine Learning at Booking.com with H2O Sparkling Water and FeatureStore
At Booking.com we have a community of over 150 data scientists working on personalizing the experience of our customers, improving visibility of our partners on the platform and preventing fraud. Because of the company’s growth and size, tasks like finding consistent data sources, building robust features and productionizing models can be challenging and time-consuming for ML practitioners. In this talk we will share our journey from the origins, where models were very much hand-crafted, till nowadays, where we have tooling for discovering and building reusable online and offline features and self-service tools to deploy models in production quickly. Along the way, we’ll share how H2O Sparkling Water plays a key role for building scalable models with large training datasets while allowing fast-predictions on our website