Iām interested in how intelligent systems should reason under uncertainty.
- š I work on ML research infrastructure: CI/CD for R&D, scientific libraries, and reproducible experimentation.
Background in applied ML, including recommendation systems. - š± Currently studying Causal Inference and Agentic AI, with a focus on robustness, identifiability, and decision-making.
- šÆ Open to collaborations on causal ML, cognitive systems, and research-oriented ML projects.
- š¬ Ask me about Deep Learning, ML systems, Python, and translating theory into experiments.
š« gian.angelini@hotmail.com
ā” Fun fact: I sometimes join or host remote study sessions across time zones. When I wake up too early, I occasionally say the wrong English word ā and only realize later that I completely changed the meaning of the sentence š
If youāre curious about how I organize my thinking and technical notes, you can start here: š start_from_here