My learning journey — university coursework + self-taught study, on the way to becoming an AI Engineer
I'm a Computer Engineering student @ UniPa, currently doing a Data & AI internship @ Accenture. This repo collects what I study and build — both from my degree and on my own — as I work toward becoming an expert AI Engineer.
ARM32 assembly routines from my Computer Architecture course: low-level programming, memory access, stack usage and condition flags using VisUAL2
Exercises from my first year's Programming Foundations course
Exercises from this semester's Java course: OOP, collections, streams, debugging exercises
Self-taught Python, working through the 30 Days of Python challenge: fundamentals, algorithms, and building toward AI/ML use
Small standalone projects, university or personal, that don't fit into a single course bucket