CV

Education

• M.S. in Data Science and Artificial Intelligence, University of Trieste, 2024-ongoing
  • Focus: Machine Learning, Bayesian Statistics, Parallel Computing
• B.S. in Artificial Intelligence and Data Analytics, University of Trieste, 2022-2024
  • Thesis: Toward automated extraction of metadata from herbarium specimen labels

Work experience

• May 2024 - Jan 2025: AI Consultant
  • Obloo
  • Duties: Designed foundational GenAI Retrieval-Augmented Generation (RAG) systems, guided development of machine learning solutions, mentored interns
  • Focus: GenAI, RAG systems, ML solutions

Skills

• Programming Languages
  • Python, C/C++, Bash
• Machine Learning & AI
  • PyTorch, Deep Learning
  • Bayesian Methods
  • Computer Vision
  • Natural Language Processing
• Tools & Technologies
  • MPI, Slurm (Parallel Computing)
  • Git, Docker
  • Data Science & Statistical Analysis

Publications

Talks

Teaching

Service and leadership

• Research Projects: BayesianFlow project applying Bayesian inference to generative models
• Professional mentoring of interns in AI and machine learning