Alberto Massidda

Alberto Massidda is a computer engineer with 12 years of experience specializing in high traffic and high availability mission-critical architectures on the Linux platform, with a keen focus on the development and management of native cloud applications.

Over time, Alberto has transitioned his professional passion from infrastructures to machine learning. He has extensive experience in machine translation, information retrieval, and other areas within the statistical machine learning sector.

Alberto's diverse background includes roles such as DevOps, startupper, NLP researcher, backend developer, Big Data engineer, fast prototyping, university thesis supervisor, and participation in various conferences, meetups, and university seminars.

He excels in presenting research results, teaching at the university level, community evangelism, software engineering, and computing infrastructure administration and development, driven by a deep passion for his profession and a continuous quest for knowledge.

Alberto's skills span various domains such as management (OKR, Scrum, Kanban), infrastructure (Linux, Kubernetes, Jenkins CI, AWS), architecture design, machine learning (TensorFlow, scikit-learn, pandas), data analysis, coding (Python, Java, Bash), and more.

He holds a PhD in artificial intelligence, a Master's in Computer Engineering, and a Bachelor's in Computer Engineering from Università degli Studi di Roma Tre. Alberto has worked in roles like End-to-end Data Scientist, Technology Master, Contract Professor, ML/DL Advocate, Senior SRE/DevOps Consultant, and others at organizations like Sourcesense, Pi School, Wanderio, and Translated.