I'm a final-year Information Technology student who builds things with Python, React, and a lot of curiosity. My projects live at the intersection of machine learning and real problems — not production systems (yet), but genuinely functional tools I built to understand how things work.
I use AI tools as part of my workflow. I won't pretend otherwise. What I care about is whether I actually understand what I've shipped.
Rebuilding some of these projects with better architecture — proper service separation, real error handling, and actual tests. The goal is to close the gap between "it works on my machine" and "it works."
Open to entry-level roles in backend development or ML engineering — ideally somewhere I'll get code reviewed by people more experienced than me.