Miles Grogger is a Forward Deployed Engineer specializing in Generative AI at Google with a decade of experience turning messy, high-impact data problems into production-ready solutions across startups and Fortune 100 engagements. He blends a strong academic foundation (MS, University of Illinois; BA, University of Chicago) with practical leadership—building monitoring and scalable ETL architectures, leading a Data Integrity team, and driving cross-functional adoption of novel outlier detection methods. Miles has repeatedly delivered measurable product improvements, from cutting transcription costs and improving panel quality to designing ensemble models for behavioral scoring. Comfortable operating at the intersection of research and product, he moves quickly from prototype to robust field solutions and mentors teams through that transition. Based in Chicago, he brings a knack for reframing hard engineering problems (for example, converting difficult fuzzy-matching tasks into geography-matching solutions) that consistently yields elegant, operational wins.
10 years of coding experience
7 years of employment as a software developer
Master of Computer Science Computer Science, Master of Computer Science Computer Science at University of Illinois Urbana-Champaign
Economics with a Specialization in Data Science, Economics with a Specialization in Data Science at University of Chicago
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Miles Grogger - GenAI Field Solutions Architect at Google