As a kid, I was addicted to mobile phones, remote control cars, and video games. I used to wonder how they worked. How does an app open when you tap it? How does a phone sense your touch? How do games get built to look and feel the way they do? Eventually I learned that programming is what powers all of it, every mobile and every computer. That's what pulled me in.

At matriculation level, I had to choose between Computer Science and Biology. Almost everyone around me pushed me toward biology. I picked computer science anyway, because I already loved it and I was amazed by what the field could do. What really got me was realizing that almost every piece of software people use every day is built through computer science.

I started in web development, building with HTML, CSS, JavaScript, React, Next.js, and Node.js. That work took me through cloud computing before a mentor pointed me toward a bigger shift: agentic AI was becoming the next real wave, not just another framework to learn.

I'm based in Pakistan, and I learn by building, not by watching. My early projects were tutorial-driven, and when a mentor told me straight that my portfolio lacked original work, I dropped them and started over from blank repositories instead. That's still how I work: build a rough version, trace where it breaks, fix the weakest part, and repeat, rather than following a course from start to finish.

My focus now is genuine dynamic agents: systems where an LLM decides what to do at runtime instead of following a fixed pipeline. That means real guardrails, evals, human approval steps before anything ships, and memory that persists across runs, not just chatbots that answer one question at a time.