From a young age, I was always drawn to computers and electronics, not just using them but trying to understand how they worked. I was the kind of kid who wanted to know what was happening behind the screen, why a system behaved the way it did, and what would break if you pushed it a little too far. I was definitely a nerd in that sense, more interested inlogic, machines, and problem-solvingthan surface-level results. That curiosity stuck with me as I grew up and eventually turned into a deeper interest in computer science, where I found myself enjoying the fundamentals as much as, if not more than, the visible outcomes.

As I started working professionally, I became known for being strong on the backend anddependablewhen systems actually mattered. I’ve taken ownership of APIs, authentication, and data flow end to end, with an emphasis on building backend logic that is efficient, predictable, and easy to reason about.

People tend to rely on me whenclarityis needed, whether that’s simplifying a messy system, tightening data handling, or making sure things don’t quietly break in production. I’ve also worked with GenAI integrations from a practical standpoint, treating AI as an engineering tool rather than a selling point, and using it only where it meaningfully improves workflows or user experience while keeping the core system simple and maintainable.