Andrea Pagliarani

I am an Innovation Manager (Reference: UNI 11814:2021), certified by Cepas (Reference: SCH130), leading low-tech SMEs towards sustainability. My role involves managing Research and Innovation (R&I) projects that incorporate Key Enabling Technologies (KETs) in a way that is ethical, transparent, and responsible.

I specialize in AI, Machine Learning, Big Data, Cloud computing, and Edge computing projects, primarily working as a Project Manager with a keen focus on innovative markets like Industry 5.0 and Renewable Energy Communities (RECs).

I have managed projects involving the development, training, validation, and fine-tuning of AI models, including their deployment and integration with IoT devices and third-party software.

My academic journey culminated in a Ph.D. in Artificial Intelligence and Big Data Analytics from University of Bologna, where I contributed to the field through research published in international conferences and volumes.

My professional expertise spans a broad spectrum of advanced technologies and methodologies. This includes but it is not limited to Artificial Intelligence, Machine Learning, and Deep Learning. I have a particular interest in Large Language Models (LLMs) and their applications.

Additionally, my skills extend to Reinforcement Learning, Natural Language Processing (NLP), Natural Language Understanding (NLU), Text Mining, Data Mining, Sentiment Analysis, Markov Models, Time Series Analysis, and Recommendation Systems.