2023

Manolis is a  Data Engineer at Xebia Data and a certified Databricks Architect Champion.  As a consultant, he has been extensively working with Spark and Databricks in different Xebia clients and he is a co-instructor in Xebia Academy course for Spark Optimization techniques.  Manolis is eager to stay up-to-date with the latest technologies and apply them to solve complex problems.

Yke is a Machine Learning Engineer at Xebia Data with a background in astronomy and artificial intelligence. In the industry, he learned that models and algorithms often do not get past the experimentation phase, leading him to specialize in MLOps to bridge the gap between experimentation and production. As a professional in this field, Yke has developed ML platforms and use cases across different cloud providers, and is passionate about sharing his knowledge through tutorials and trainings. 

Mariano is a Machine Learning Engineer with five years of professional experience in the fields of Machine Learning and Data Engineering.  

Currently, Mariano’s primary role revolves around contributing to the Machine Learning Platform at Adevinta, where he builds tools to empower teams to do Machine Learning at scale. 

Mariano studied in Argentina, where he got a degree in Computer Science. After completing his studies, he began his career as a backend engineer in Data teams and gradually transitioned into the field of Machine Learning engineering.