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Alessandro Pirrotta is a highly skilled senior AI and data science engineer with extensive experience in DevOps, MLOps, and cloud computing. Currently employed at PFA since February 2020, Alessandro has developed and maintained CI/CD pipelines and data science platforms utilizing tools such as Azure, Kubernetes, Docker, R, and Python. Previous roles include senior consultant at Capgemini Danmark and data scientist at DFDS, where Alessandro focused on optimizing business operations through machine learning. Alessandro's academic background includes a PhD in Chemistry from the University of Copenhagen and research experience at prestigious institutions such as the University of Warwick and the University of Rochester.