I started as a math-focused student. I fell in love with logic the way numbers relate, the way patterns reveal structure, the way a single correct connection can make an entire problem suddenly make sense.
Then I took an unexpected turn in university: criminal investigation. On the surface, it looked far from math. But the deeper I went, the more familiar it felt. It was still logic just expressed differently: behavior linked to evidence, people linked to events, and everything mapped onto the framework of the law. Different domain, same essence: relationships.
That experience rewired the way I see knowledge. I began noticing invisible links across disciplines ideas flowing from one field to another even when most people treat them as unrelated. Patterns in human behavior can be modeled. Real-world phenomena can be abstracted. Systems can be understood through signals, constraints, and connections. Knowledge doesn t live in isolated folders it moves.
After years of learning and working, I returned to data and logic almost like coming home. Becoming a DBA and studying data science and AI gave that old obsession a clearer shape: I didn t just want to store information. I wanted to connect fragmented knowledge into a coherent picture.