Geomatics Engineering Student + Software Developer
I turn complex places, field observations, and messy workflows into clear digital tools that move ideas forward.
Geomatics taught me to look closely: at coordinates, patterns, terrain, and the stories hidden inside a dataset. Software engineering taught me to make those insights useful — with tools that are fast, thoughtful, and built for the people using them.
From surveying and spatial analysis to Python automation, REST APIs, mobile workflows, and AI-assisted utilities, I like turning “there should be a better way” into a working prototype.
Two sides of the same instinct: make complex systems easier to navigate.
A mobile-first infrastructure mapping concept for capturing field observations, validating community reports, and giving teams a shared view of what needs attention next.
01 from fieldkit import clean
02
03 records = load_csv("survey.csv")
04 result = clean(records)
05 ✓ 284 observations normalized
06 ✓ ready for spatial join
A Python toolkit for cleaning field data, generating repeatable reports, and turning small scripts into reliable team workflows.
Tools are only useful when they make the next decision clearer. These are the ones I reach for most.
Tell me what you’re exploring. I’m always up for a thoughtful conversation about spatial data, useful software, and better ways to work.