Tomás Ariel Pastore

Tomás Ariel Pastore has worked in various roles and companies since 2016. Tomás Ariel has experience in project management, technical marketing, software development, data science, and machine learning engineering. Pastore has worked on a research project evaluating different machine learning models in detecting seizure onset zone in the context of refractory epilepsy. Tomás Ariel also improved the processing time and code quality of software aimed at capturing epilepsy biomarker events. In their most recent role as a machine learning engineer at Mantika, they developed and maintained state-of-the-art deep learning models in real-time for big data. Currently, they work as a Data Developer at MUTT DATA.

Tomás Ariel Pastore earned their high school diploma in Economics and Administration from Instituto La Salle Florida, where they studied from 2011 to 2013. Tomás Ariel later attended the University of Buenos Aires, where they pursued a Master of Science in Computer Science between 2014 and 2021. No field of study was specified in either of their educational pursuits.