Greg Chase is a Senior AI Solutions Engineer with 11 years of experience building and operating end-to-end ML products, from the first production dating recommender at MeetMindful to enterprise-grade deployment pipelines and GPU-accelerated workflows. He bridges data science and cloud engineering, having owned model development, CI/CD, cost-optimized AWS infrastructure, and SageMaker deployments as a team-of-one and as a senior contributor at companies including Visa, Cured, and Arize AI. Greg specializes in GPU computing (CUDA, RAPIDS, cuDF/cuML) and practical ML toolchains in Python and SQL, consistently squeezing latency and cost out of production systems. He has a track record of measurable product impact—raising match rates, cutting moderation workload, and slashing infrastructure spend—while advising engineering teams on best practices. Based in Boulder, he combines hands-on implementation with enterprise and federal account experience, including work across the US Navy and Air Force. He’s active in the GOAI community and favors intuitive, performant solutions that push GPUs into every stage of the pipeline.
11 years of coding experience
9 years of employment as a software developer
Data Science Immersive, Data Science, Data Science Immersive, Data Science at Galvanize
Business Administration, Operations Management, Information Management, Business Administration, Operations Management, Information Management at University of Colorado Boulder
A recommender engine for ski runs as part of the Galvanize DSI capstone project
Contributions:371 commits, 99 pushes, 1 branch in 2 years 3 months
capstonepythonrecommenderskidsi
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