Emily Spahn is a data-driven software engineer and founder with 11 years of experience applying machine learning, geospatial analysis, and natural language processing to environmental and product problems. After roles spanning research science at Amazon, applied engineering at DroneSeed and Kevala, and product data science at Snowflake, she now runs Double Stop Consulting from Seattle to help organizations translate complex data into human-centered solutions. Her background in civil and environmental engineering plus a GIS certificate gives her a rare combination of domain expertise and production ML/data engineering chops. Emily is comfortable moving models from research into scalable pipelines and often blends geospatial "geo-things" with NLP to surface actionable insights for environmental applications. Colleagues describe her as pragmatic and curious, able to bridge technical detail and stakeholder needs while keeping an eye on environmental impact.
11 years of coding experience
14 years of employment as a software developer
Master of Engineering - MEng Civil & Environmental Engineering, Master of Engineering - MEng Civil & Environmental Engineering at University of Washington
Data Science Immersive, Data Science Immersive at Galvanize - Seattle, Pioneer Square
Contributions:35 commits, 29 pushes, 1 branch in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.