Massimo Schenone is a seasoned DevOps engineer with nine years of focused experience and over two decades in infrastructure, storage and systems engineering, currently splitting duties between Qualcomm and Arduino from his base in Turin. He has deep expertise in automating and deploying Big Data and ML platforms—containerized Jupyter labs, Hadoop/Spark ecosystems, Ansible-driven provisioning—and has led incident-response and deployment automation projects in production. His background as a storage and SAN architect plus early Unix/enterprise OS administration gives him a rare end-to-end perspective on performance, backup/migration and disaster-recovery workflows. Massimo pairs academic rigor (PhD work in multimedia, graph databases and AI) with hands-on engineering, often translating research-grade requirements into repeatable, containerized lab and cloud environments. Quietly versatile, he moves between low-level storage design and high-level cloud adoption strategy, making complex distributed systems dependable and operable.
9 years of coding experience
12 years of employment as a software developer
Diploma di laurea in Scienze dell'informazione, Logic Programming, Object Oriented Requirements and Design Analysis, GIS, Diploma di laurea in Scienze dell'informazione, Logic Programming, Object Oriented Requirements and Design Analysis, GIS at Università degli Studi di Genova
PhD, Multimedia and graph databases, Artificial intelligence, PhD, Multimedia and graph databases, Artificial intelligence at Università degli Studi di Torino
Contributions:4 PRs, 5 pushes, 2 branches in 1 day
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