Currently learning: DSA and AI fundamentals

Right now, I am focusing on two areas that complement each other: Data Structures and Algorithms, and AI fundamentals.

Data Structures and Algorithms

DSA improves how I reason about a problem before I write code. I am practising how to identify the right data structure, estimate time and space complexity, and compare a simple solution with a more efficient one.

My current focus includes arrays, strings, hash maps, stacks, queues, linked lists, trees, and common problem-solving patterns.

AI fundamentals

I am also learning AI fundamentals with a practical mindset. My aim is to understand the basic ideas, terminology, and limitations before trying to use AI in an application.

For me, responsible learning means asking useful questions: what problem does AI actually solve here, what data or context does it need, and how should a user understand its output?

Why I am learning both

DSA helps me build stronger logical foundations. AI introduces a new way to think about software capabilities. Learning both together helps me stay grounded in problem solving while exploring modern technology carefully.

I will keep updating this blog with notes from what I build and learn.