I build practical software for environmental work, combining environmental engineering with AI-assisted development. My interests span Python scripting, web applications, geospatial workflows, and air-quality modeling.
- Python scripts for web scraping, data collection, and environmental data processing.
- Web applications that turn operational needs into structured workflows.
- GIS tools and reusable guidance for preparing and checking maps.
- Modeling workflows informed by my research with WRF–CAMx and applied work with AERMOD.
- InvenEmisi: A visual node-editor web application for emissions-inventory calculations and tabular-data workflows.
- QGIS_Layout: A reusable Codex skill and workflow reference for composing and checking QGIS map layouts.
I use AI-assisted coding to develop scripts and applications while continuing to learn the tools behind them. My focus is on translating real environmental workflows into useful features, then checking and refining the results.
A longer-term goal is to build guided interfaces for WRF, WRF-Chem, and CAMx: approachable starting points for new users, with room to explore advanced settings as their understanding grows. This is a future direction, not a released product.
I hold a master's degree in Environmental Engineering from Institut Teknologi Bandung and am seeking PhD opportunities abroad. I aim to become a lecturer and connect research, teaching, and software development to strengthen air-quality modeling capability in Indonesia.