My Novice Journey's Monologue

Curiosity has always been the starting point. Things are rarely accepted as they are. Learning happens by experimenting, breaking things, and understanding why they work.

There was no fixed roadmap. Just consistent effort. When something feels interesting an algorithm or an ML concept the focus stays until the basics are clear.

Problem-solving became a strong habit. Practicing hundreds of algorithmic questions helped build logical thinking. Over time, it became clear that solving problems only on platforms isn’t enough.

Moving beyond theory. Turning logic into real systems through projects, AI experiments, and problem solving that actually matters.

The Graph

If I were to visualize my progression on a horizontal axis:

The success so far is a mix of that initial hustle and a stubborn curiosity. The experiments are starting to converge, and it feels like the real work is just beginning.