I'm a Software & AI Engineer who likes messy problems — the kind where the requirements are still evolving, the data lives in five different places, and someone eventually says, “Can we make AI do this?” That's usually where I have the most fun. I enjoy taking that ambiguity, breaking it into something understandable, and turning it into a working product — whether that means building AI agents, backend systems, data pipelines, or a quick POC that somehow becomes the thing everyone wants to demo.

A lot of my work has been at the intersection of software, AI, and real business problems — from compliance and financial services to packaging intelligence and network governance. I like understanding the why behind what I'm building, not just closing a ticket. I work best when I have clarity on what the end state should look like, and then I enjoy figuring out the path to get there. I'm equally comfortable collaborating with a team, bouncing ideas around a whiteboard, or putting my headphones on and owning a problem end to end.

Outside of code, dance and traveling are my reset buttons. One helps me reconnect with myself, the other reminds me how much there is still to see, learn, and experience. I love anything that lets me create, move, explore, or learn something completely new. I'm also the kind of person who can go down a rabbit hole about a new AI idea, turn it into a weekend experiment, and then wonder why there are suddenly twelve tabs, three repos, and a half-built product on my screen. Curiosity gets me into trouble occasionally — but it has also built most of the things I'm proud of.