Harrison Grias is a senior full-stack software engineer based in Chicago with seven years of experience building scalable, user-focused web products across startups, agencies, and large enterprises. He blends hands-on implementation—from Kubernetes local dev environments and event-driven analytics to ML operations and cloud infrastructure—with rapid user discovery to ship impactful features end-to-end. At Discover he led ML ops platform work for production model training and monitoring, and at Leaf Trade and Publicis Sapient he drove analytics, ETL, and cloud migrations that reduced developer friction and empowered product teams. Comfortable across the stack, Harrison favors pragmatic solutions that accelerate iteration cycles and improve observability. Outside of work he’s often exploring Chicago by bike, playing soccer, or testing new restaurants with his partner—an orientation that informs his collaborative, user-centric approach.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science and Statistics, Bachelor of Science (B.S.) Computer Science and Statistics at University of Michigan
Framework for building data workflows provided by Google.
Contributions:8 pushes, 6 branches in 1 month
pythonbigquerydata-engineeringdata-integrationelt
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Harrison Grias - Senior Software Engineer at Sprout Social, Inc.