The Moment I fell in Love with Technology

From a very young age, I instinctively knew that understanding how things worked was the only way to fix them. While other kids played, I was dismantling devices at home, due to curiosity and a desire to solve problems.

In 9th standard, that curiosity evolved into something deeper. I was determined to gain root access to my mom’s old smartphone. It wasn’t about showing off rather it was about peeling back the layers of technology to see what lay beneath. When “SuperSu” finally appeared on the screen, it wasn’t just a technical achievement. It was the moment I realized what I truly love.

This hunger to probe further led me into ethical hacking, not the sensationalized version from movies, but a disciplined practice of uncovering how systems really work, exposing hidden vulnerabilities, and solving problems others didn’t notice.

As I pursued Computer Science in college, every program I wrote and every application I built became more than code. It became a way to share my vision: that technology is meant to be understood, explored, and built upon. My fascination deepened as I explored microcontrollers, processor architectures, and learned to write programs in C++ while realizing that the very essence of all digital devices is the same logical foundation.

When ChatGPT went live, something clicked. AI had transcended from fiction to reality, reshaping how the world interacts with technology. But I didn’t stop at using AI. I had to understand it.

What I discovered was profound: Unlike traditional systems, AI systems don’t fail because of code errors. They fail in human ways — by getting confused, biased, or emotionally manipulated. Hacking AI became a new form of exploration. It’s not about breaking systems — it’s about understanding the psychological layers within large language models.

Today, as a technology professional at Calfus Inc., my story continues. My hacker’s mindset didn’t vanish. It evolved into AI research, development and red teaming.

But beyond my own journey, I have a vision for the future of technology.
I believe the next few years should not just be about building faster systems or bigger models. They should be about building resilient, transparent, and adaptive intelligent systems. Systems that don’t just perform tasks but understand their own limitations, acknowledge biases, and continuously learn to improve.

My mission is to contribute to AI research, development, and red teaming — not because it’s trendy, but because it’s what I truly love. The technology landscape of tomorrow should be built on relentless curiosity, ethical responsibility, and a commitment to solving real problems for real people.

This is my origin story in technology and where I want to take it next.
Still driven. Still curious. Still hungry to go deeper.
The future of technology demands nothing less.