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rlank/README.md

Robb Lankston, b2

I am an ecological software developer, spatial data scientist, and the owner of Lankston Consulting, LLC based in Seattle, WA. I design custom software, cloud pipelines, and machine learning models to solve complex natural resource management and ecological questions at scale.

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πŸ› οΈ Core Expertise & Tech Stack

πŸ’» Programming & Systems
β€’ C++ (High-Performance Scientific Modeling)
β€’ Python (Data Pipelines, Machine Learning, GIS)
β€’ SQL / Cloud Database Architectures
🌍 Geospatial & Data Science
β€’ Remote Sensing & Near Real-Time Data Pipelines
β€’ GIS & Spatial Analysis (GDAL, Rasterio, Shapely)
β€’ Machine Learning & Predictive Ecological Modeling

πŸš€ Flagship Projects

🌾 Fuelcast

An advanced projection tool utilizing remote sensing and machine learning to map near real-time rangeland forage production and fuel conditions across the Western US. Helps managers and fire specialists predict grazing capacity and fire hazards.

A high-performance C++ simulator designed to model non-forested vegetation succession, biomass, fuel characteristics, and fire/grazing disturbances. It integrates directly with the U.S. Forest Service's Forest Vegetation Simulator (FVS) to provide comprehensive landscape-level projections.

πŸ“Š GitHub Analytics

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🎡 Fun Fact

When I’m not building cloud data pipelines or ecological simulators, you can find me playing traditional Irish music in the Seattle session scene. 🎻


Feel free to reach out for collaborations on geospatial software, ecological modeling, or cloud data architecture!

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