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Francesco Galloni has five years of work experience. In 2021, they began working as a Data | MLOps Engineer for Yubo. Previously, they worked as a Machine Learning Engineer for Sky Italia and a Data | Machine Learning Engineer for NTT DATA Italia from 2020. In 2019, they worked as a Software Engineer Intern for EveryWare lab, department of computer science, University of Milan, where they developed a scalable machine learning framework for human activity recognition. Finally, in 2017, they worked as a Software Engineer Intern for Imola Informatica.

Francesco Galloni obtained a Bachelor's degree in IT for management from Alma Mater Studiorum - Università di Bologna in 2017. Francesco then went on to pursue a Master's degree in Computer Science at Università degli Studi di Milano, which they completed in 2020. In addition, they have obtained several certifications, including an Associate Cloud Engineer from Google (2020), a TensorFlow Developer Certificate from the TensorFlow Certificate Program (2020), TensorFlow: Data and Deployment from deeplearning.ai (2020), Machine Learning with TensorFlow on Google Cloud Platform from Google (2020), TensorFlow in Practice from deeplearning.ai (2020), Scalable Machine Learning on Big Data using Apache Spark from IBM (2020), Parallel Programming in Java from Rice University (2019), Deep Learning Specialization from deeplearning.ai (2019), and Machine learning from Stanford University (ongoing).