Academic and professional researcher in topics related to information systems, data analysis, text mining, and social networks. Broad knowledge in computational linguistics, computational sociolinguistics, and computational semiotics, which are the main topics of the doctoral research project. Developed projects in these areas with technologies and methodologies related to data analysis, Big Data, and Artificial Intelligence (AI). Participated in multiple international conferences, receiving recognition for the studies presented. Winner of the 2024 CFP “Ethics of Large-Scale Models” by Notre Dame University and IBM. Achieved second place in the PAN@CLEF 2019 conference in computational linguistics for determining sociolinguistic styles and demographic, psychographic, and behavioral variables from a sample group of celebrities in Lugano, Switzerland.

Experienced in supervising technical work teams, advising, and offering companies technological concepts for adapting base platforms to develop their own and client applications. Skilled in planning, designing, and structuring architectural strategies required for software projects, offering tools to measure, predict, and manage projects. Extensive experience in designing, developing, and implementing software projects applying highly scalable and robust enterprise architectures with recognized success.

Developed strategic planning for technology-based and AI projects using methodologies like Design Thinking and instruments such as Canvas. Expertise in emerging business models with the Internet and mobile economies, fundamental for ICT companies today. Successfully approached business tools and instruments, determining the market success of technology-based products.