Summary
Manuel Correa is a Machine Learning Engineer with over a decade of experience building scalable software and ML systems across enterprise and cloud environments, most recently holding senior engineering roles at Netflix. He brings deep Java backend expertise (Hibernate, Spring, Lucene/Solr) and practical experience integrating geospatial and web services (ArcGIS, OGC, Google Maps) into production systems. Manuel has led teams from feature development to delivery at companies like CareerBuilder and NCR, pairing hands-on coding with architecture and operational concerns. Based in San Jose, he combines an academic foundation (MSc in Computer Science) with a practical appetite for continuous learning, and focuses on scaling ML workflows in enterprise contexts. An understated strength is his cross-domain fluency—GIS, search, and ML—enabling pragmatic solutions where spatial data and large-scale retrieval meet machine learning.
10 years of coding experience
15 years of employment as a software developer
MSc, Theoretical Physics, MSc, Theoretical Physics at Imperial College London
Postgrade, Marketing, Postgrade, Marketing at Universitat Pompeu Fabra
MSc, Physics, MSc, Physics at Universidad de La Laguna
Catalan, German, Spanish, English