Building intelligent
engines that ship.

Undergraduate in Informatics Engineering at Universitas Sriwijaya, building ML systems at the intersection of technical rigor and real business problems. No grand origin story, just someone who found early on that playing with data and seeing what it reveals is genuinely fun, and then realized the interesting problems live where complexity demands explainability.

These days, I'm focused on risk intelligence and operational analytics for emerging markets, work that spans credit scoring pipelines, geospatial infrastructure mapping, and production systems that survive contact with the real world. Recent projects share the same DNA: making sense of messy data in contexts where decisions matter.

The pattern-recognition habit started with stock markets at 17, still a stock investor, still thinking probabilistically about risk. That lens shaped how I approach ML: explainability by design, not afterthought. Because when regulators ask why a loan was denied, or field teams need to act on infrastructure intelligence, a black-box model becomes a liability in regulated and operational settings.

Outside of data, I draw and care about UI/UX because the best analysis means nothing if it's trapped in unusable interfaces.