Eric Huang is an engineering manager specializing in applied machine learning and data-driven civic technology, currently leading ML and data science efforts at MissionWired. With eight years of experience across Microsoft, FiscalNote, and nonprofits, he blends large-scale production engineering (Azure, Kubernetes, BigQuery) with hands-on ML model production and telemetry pipelines. He built first-of-kind systems at Run for Something: the organization's inaugural engineering team, a fully automated ETL and recruitment pipeline, and an AI-driven search monitoring platform for political campaigns. Eric excels at translating messy, multi-format civic data into reliable, secure cloud services using Python, TypeScript, Prefect/ Airflow, and PostgreSQL, and has led cross-org integrations with partners like the Obama Foundation. Known for pragmatically shipping end-to-end solutions that empower nontechnical users, he pairs technical depth with people leadership and a clear focus on social impact. Based in Vancouver, he brings a track record of turning policy and campaign data complexity into actionable, production-grade products.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at University of Maryland
An unopinionated system of components, development tools, and utilities used à la carte or as a suite to build enterprise-grade websites and applications.
Contributions:2 pushes, 1 branch in 1 day
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Eric Huang - Engineering Manager, Applied Machine Learning (VP, Data Science & Machine Learning)