RJ Sheperd

Software Engineer at Spatial Informatics Group, LLC

Portland, Oregon, United States
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Summary

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Senior
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RJ Sheperd is a software engineer in Portland, Oregon with 12 years of experience building data-driven products that blend human-centered design, GIS, and machine learning. He specializes in geospatial and mapping systems, modernizing wildfire and land-use tools using Clojure/ClojureScript, React, Mapbox GL, and GeoServer to deliver science-grade outputs to decision makers and the public. His background spans backend microservices on AWS, real-time single-page apps, and data pipelines, giving him fluency across stacks from JVM services to front-end bindings and desktop apps. RJ pairs functional programming and graph/Datalog approaches with practical engineering like configuring GeoServer for Cloud-Optimized GeoTIFFs and tile caching for production performance. He also brings mechanical engineering and hands-on fabrication roots to his software work, reflecting a pragmatic maker’s mindset in complex, data-rich systems. Colleagues rely on him to bridge research, open-source tooling, and production deployment to turn environmental science into usable, resilient products.
code12 years of coding experience
job13 years of employment as a software developer
bookBachelor of Science, Mechanical Engineering, Bachelor of Science, Mechanical Engineering at University of California, Berkeley
bookData Science Nanodegree, Data Science, Data Science Nanodegree, Data Science at Udacity
bookGIS Certificate, Geography, GIS Certificate, Geography at Portland State University
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Stackoverflow

Stats
15reputation
374reached
1answer
2questions
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Github Skills (54)

tms10
memory-database10
earth10
esx10
pyodide10
python9
django-email9
wms9
datascript9
database9
webassembly9
emscripten9
js8
mobility8
clojurescript8

Programming languages (12)

JavaC++CSSJavaScriptGoCommon LispHTMLJupyter Notebook

Github contributions (5)

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ghallsimpsons/FreeBMD

Apr 2014 - Sep 2014

Contributions:180 commits, 4 comments, 6 issues in 5 months
rjsheperd/behave

Feb 2022 - Jul 2026

A new implementation of the extended Rothermel model
Contributions:5 pushes, 4 branches in 4 years 5 months
extended
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