Samuel Elkind is a systems engineer at Cloudflare with nine years of engineering experience and a strong foundation in back-end web development and Python. Currently pursuing a Master's in Computer Science at Georgia Tech, his coursework emphasizes computing systems, information security, and machine learning. He has practical experience accelerating research and product work—contributing to the SCAR GeoMAP project, building data pipelines that saved support teams hours weekly, and producing a deep-learning pipeline for Polar satellite imagery classification. Samuel pairs hands-on production systems work with data science practice, demonstrated by a 94.7% plant-seedling classifier and sentiment analysis of large congressional transcripts. Based in Oregon, he brings an uncommon blend of geoscience domain knowledge and cloud systems engineering that helps bridge research datasets and scalable services.
9 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Geology/Earth Science, General, Bachelor's Degree, Geology/Earth Science, General at Colorado College
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
The unofficial documentation for the SCAR GeoMAP dataset
Contributions:264 commits, 55 PRs, 113 pushes in 2 years 2 months
datasetgeospatialgeopandas
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