About Me

As Manager of the Cloud Generative AI Business Unit at Reply, I lead strategic initiatives and oversee a multidisciplinary team focused on delivering innovative AI-driven cloud solutions. While managing business growth and high-impact projects, I remain deeply involved in technical strategy, architecture, and solution design. I actively guide and mentor engineers, contribute to hands-on development, and ensure the adoption of best practices in generative AI, cloud, and DevOps to deliver value for enterprise clients.

As a Senior Cloud Engineer, I lead a team of 6 Cloud and DevOps Engineers in the development and implementation of cloud-native infrastructures and applications. My expertise in serverless architectures, Kubernetes, and containerization enables me to design and deploy scalable and secure cloud-based solutions for our customers.

As a Cloud/DevOps Engineer, I have a strong track record of designing and implementing advanced infrastructure solutions for enterprise level customers. This includes using modern technologies such as Docker containers, Kubernetes clusters, and Infrastructure as Code to deliver scalable, reliable, and cost-effective systems. I am also skilled in designing and implementing microservices architectures, utilizing serverless functions and .NET core to deliver agile and flexible application development. In my role, I work closely with customers to understand their needs and translate them into technical requirements. I excel at collaborating in teams to plan and execute complex projects.

As a research fellow at mOve research lab, I had the opportunity to collaborate with Maserati on a project involving the design and development of a real-time Advanced Driver Assistance System (ADAS) application for Head-Mounted Displays (HMDs). This project allowed me to work on cutting-edge technology and make a meaningful contribution to the field of ADAS and HMDs.

During my second-level Master’s degree studies at PoliTO, I gained a comprehensive understanding of modern digital technologies and how to apply them in practical scenarios. My program covered the main components of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) solutions on Azure, AWS, GCP, and Oracle Cloud, as well as the DevOps approach and Infrastructure as Code. I also gained hands-on experience with microservice-based architectures using containerization (Docker, Kubernetes, OpenShift) and serverless development.
Final dissertation: API Management in the context of Hybrid Cloud.

During my Master’s degree studies, I gained a well-rounded understanding of computer science applications, including Artificial Intelligence and Machine Learning, Big Data and data science, software engineering for complex systems, internet engineering, and cyber security.
Final dissertation: Real-time implementation of an Augmented Reality ADAS for Head-Mounted Displays