Education Instructors
Paulo Cysne is an accomplished data science and AI professional with over 17 years of experience in data analytics, including more than 11 years at the forefront of artificial intelligence research and application. His expertise encompasses large language models (LLMs), natural language processing (NLP), causal AI, and the design and deployment of graph-based data systems.
Mr. Cysne has held senior and leadership roles across multiple sectors, including finance, healthcare, retail, and marketing, where he has applied machine learning and AI methodologies to solve complex, real-world problems. His recent work has focused on the strategic implementation of LLMs in enterprise environments, regulatory compliance automation, intelligent document processing, and the development of interpretable and secure AI systems.
He holds a postgraduate diploma in Data Science, an MBA in Quantitative Analysis, and a bachelor’s degree in Physics. In addition to his professional practice, Mr. Cysne is an advocate for the ethical and transparent use of AI, with a focus on explainability and trust in algorithmic systems. He is multilingual and operates globally from Geneva, Switzerland.
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