About Me

I am a software engineer, but that only tells part of the story.

Beyond my profession, I am deeply curious about reality and the nature of consciousness.

I am on a quest to improve my understanding of human experience — how we perceive, interpret, and interact with the world.

My Biggest Breakthrough​

One of the most profound realizations I have had is this:

The experience of "I" as an individual is essentially a highly sophisticated program running in my brain.

Just like a software program runs on silicon chips, this program executes on an immense neural network of about 100 billion neurons, each connected to roughly 7,000 other neurons—resulting in a staggering 10¹⁵ connections.

This program creates the reality we experience more than we realize.

If you want to explore this idea further, I highly recommend this TED talk by Anil Seth:
🎥 How Your Brain Hallucinates Your Conscious Reality

Where Technology Meets Consciousness​

With the rise of machine learning and artificial intelligence, we are finally beginning to model the highly sophisticated workings of the human brain.

Soon, we will be able to leverage its principles to create something spectacular and mind-blowing (pun intended 😄).

And this is where my work comes into the picture.

My Journey in Software Engineering​

I have spent over a decade in the software industry, honing my programming and analytical skills.

I am highly adaptable, easily learning new platforms, paradigms, and frameworks.

Programming is not just my passion—it is my calling.

Coding allows me to model the world, transforming complex ideas into tangible systems.

With code, the world becomes my playground, a limitless space where I can experiment, explore, and bring abstract concepts to life.

The Next Chapter​

I am eager to unite what I do (software development) with who I am (a researcher into the nature of reality and existence).

As the next step in my journey, I want to step deeper into mathematics and statistics and write software that is driven not just by predetermined algorithms, but also by previously unmodeled observations.