Depth over performance
I want to understand the systems I work on, not merely look fluent in them.
An engineer becoming a researcher, founder, and better builder.
I care about technical depth, but also about the judgment to choose the right problem and the courage to keep working when the path is unclear.
I study Electrical Engineering in Universitas Indonesia's International Undergraduate Program. My work has moved from analog circuits and embedded systems into data products, forecasting, software, and the early questions behind machine learning research.
I am preparing to study at UC Berkeley in Spring 2027. Long term, I want to build AZUMIE around original work in algorithms, NLP, and intelligent systems, with products grounded in real problems rather than AI for its own sake.
I have written online since 2021 and now continue as a contributor to Towards Data Science. Writing, teaching, and leading communities shape how I explain complexity and how I notice the human system surrounding every technical one.
Ambition with usefulness
The work should be technically serious and matter to someone beyond the screen.
Range with a direction
Hardware, software, teaching, and entrepreneurship are not separate identities. They are how I learned to build whole systems.
PythonMATLABSQLNext.jsTypeScriptForecastingMachine learningEmbedded systemsPower systemsProduct design