I'm a biological and agricultural engineering student working at the intersection of stormwater management, land surveying, and geospatial analysis — turning field data and regulatory complexity into clear, practical outcomes for land and water systems.
I'm a biological and agricultural engineering student with hands-on experience as an associate stormwater professional and assistant to a licensed land surveyor. My work sits at the edge of the field and the office: designing drainage systems, collecting survey data, and making sense of the spatial relationships that govern how land and water interact.
I work daily in ArcGIS Pro, QGIS, and AutoCAD Civil 3D — using them not just as drafting tools but as analytical platforms for understanding watersheds, grading plans, and stormwater infrastructure. I bring the same methodical thinking to every project, whether it's a permit application or a GIS dataset.
Beyond the technical work, I'm drawn to problems where precision and practical judgment both matter — reading a topo sheet in the field, designing a BMP that actually gets built, or finding a pattern in spatial data that changes a land-use decision.
Projects rooted in real stormwater, surveying, and geospatial engineering problems — each one designed to sharpen technical skills while producing something useful in the field.
A Python-based workflow that ingests survey TIN data and land-cover layers to compute CN-weighted runoff volumes, time of concentration, and drainage basin boundaries — outputting permit-ready summaries and GIS layers for ArcPro review.
Scripts to process raw total station export files, validate point closure errors, and auto-generate Civil 3D surface inputs — reducing the manual steps between field collection and CAD drafting in a surveying workflow.
Using USGS DEM data and ArcPro's Spatial Analyst tools to delineate sub-watershed boundaries, classify NLCD land cover, and calculate impervious surface percentages across a study drainage area — packaged as a reproducible Python/arcpy workflow.
Built from scratch as a single HTML/CSS/JS file — no frameworks, no templates. Deployed on Cloudflare Pages. The first coding project in a deliberate effort to add computational tools to an engineering practice.
Honest ratings by current comfort level. The GIS and engineering software are well-established; the coding stack is actively growing.
The problems I'm most excited to work on — where hydrology, spatial data, and engineering judgment all meet.
Designing systems that manage runoff, protect water quality, and meet permit requirements in real development contexts.
Field data collection, boundary control, and the precision discipline of translating the physical world into accurate coordinates.
Using GIS to find spatial patterns — watershed boundaries, land-use change, soil variability — that inform better engineering decisions.
Site grading, cut/fill optimization, and the challenge of fitting infrastructure onto a real landscape with real constraints.
Soil-plant-water relationships, irrigation design, and the engineering side of how agricultural land is managed and improved.
Processing satellite and aerial imagery to map land cover, impervious surface, and vegetation health across large study areas.
Open to project collaboration, professional opportunities, and conversations at the intersection of engineering, land, and water.