
Miguel is a senior Machine Learning Engineer with 11+ years of experience applying ML to large-scale digital platforms. His background evolved from backend engineering to ML systems for search, ranking, and personalization. He has mainly worked with US-based media-tech companies and marketplaces, building systems that directly impact user experience and engagement.

Miguel has built NLP models for classification and semantic search, as well as ranking and recommendation systems serving millions of users. He strongly believes in continuous experimentation and online evaluation.
His approach is user-centric, treating machine learning as a tool to improve real user outcomes. He works closely with product and design teams to iterate quickly.
