Maximo Gurmendez, Engineer at Dataxu

Maximo Gurmendez

Engineer, Dataxu

Maximo holds a Masters degree in Computer Science / Artificial Intelligence from Northeastern University where he attended as a Fulbright Scholar. Since 2009 he has been working as an engineer at DataXu tackling the challenge of machine learning over large large data sets. He’s also a lecturer at the School of Engineering, University of Montevideo where he’s conducting student projects involving the use of Apache Spark for large scale Data Science.


Spark @ DataXu: Multi-Model Machine Learning for Real Time Bidding Over Display Ads

The presentation will describe DataXu’s experience of moving from a fully in-house developed system for machine learning based on Hadoop, to a hybrid system that leverages Spark’s ML Pipeline tool to automate and improve the… Read more