Rudy Schueder
Senior Geospatial ML Software Engineer
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolRudy Schueder is a Senior Geospatial ML Software Engineer with nine years of experience building production-grade machine learning systems for large-scale remote sensing and environmental applications. He leads end-to-end MLOps and model development, having architected containerized training and serving pipelines across Kubernetes, Argo, GCP VertexAI and AWS for transformer and deep learning models that process terabyte-scale multispectral and SAR imagery. Rudy pairs strong software engineering (Python, PyTorch, Go, Docker) with domain expertise in geospatial tools (GDAL, PostGIS, Pangeo) to deliver reproducible model lineages, experiment tracking, and cost-optimized inference at multi-continent scale. He has a research background in hydrodynamics and water quality modeling, which informs practical solutions for agriculture, infrastructure monitoring and sustainability use cases. Known for mentoring data scientists and translating R&D into production, he also builds user-facing tooling for annotation workflows and novel APIs that integrate LLM-driven interfaces with analytics products. Based in Vancouver, Canada, Rudy blends academic rigor from Queen’s University with hands-on cloud-native engineering to move remote sensing algorithms from proof-of-concept to reliable operational services.
9 years of coding experience
9 years of employment as a software developer
M.A.Sc, Civil Engineering, M.A.Sc, Civil Engineering at Queen's University
Github Skills (10)
stac10
rasterio10
geospatial9
dask8
dfm6
mercator4
python3
neural-network2
machine-learning2
windows-subsystem-for-linux2
Programming languages (3)
Github contributions (5)
RSchueder/SSPD
Dec 2016 - Jul 2019
Contributions:20 PRs, 23 pushes, 13 branches in 2 years 7 months
javaphpminecraft
RSchueder/dflowutil
May 2019 - Nov 2019
Utilities for Delft3D FM and D-WAQ in python
Contributions:39 commits, 34 pushes, 1 branch in 6 months
python
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