Most people assume that once you’re deep into your career, juggling systems, writing production code, leading architecture decisions, you’re done with math. You’ve made it past the formulas and theorems. Math is for students. Algorithms are for search engines. Right?

I’ve never believed that.

One of my core principles is that learning is a lifelong pursuit. Mathematics, in particular, remains central to my work, serving as the foundation of nearly everything I build or maintain.

I still study math, not because I need it for my job, but because it sharpens how I think, build, and solve complex problems. Math is everywhere you look, in every corner where you search for an answer, that answer has been generated by mathematical principles and you can see them if you look closely.

The future, in fact, is fully shaped by mathematics. The algorithms that power our AI, the data structures that build our software, the bare minimum bit of logic that drives our applications. All of these elements are grounded in mathematical concepts.

Maybe you consider that the abstraction layers that humanity has built on top of these mathematical foundations somehow remove the need for direct understanding of the underlying principles. But I would argue that if you want to fully understand what you’re creating, supporting, or working with, you need to have a solid grasp of the math behind it.

You don’t require to notice which vector search algorithm your AI system is using while coding, you don’t have to deeply understand the paradigm behind object handling in your pre-compiled code. But having a foundational understanding of these concepts can only serve to enhance your capabilities as a developer and will eventually help you achieve higher levels of success.

Don’t allow the perceived complexity of the matter to prevent you from exploring and understanding the mathematical principles and axioms that govern the universe. Embrace the challenge and let your curiosity guide you through the fascinating world of math.