Matthew Kramer is a Staff Software Engineer (Data) with nine years of experience building cloud-native, data-driven systems and machine learning services that operate at scale. He has shipped production ML and data infrastructure—from a high-throughput text cleansing service and sentiment analysis pipelines to components of one of the world’s largest knowledge graphs—while focusing on reliability, performance, and measurable customer value. Comfortable across data engineering, software engineering, and applied ML, he designs distributed systems on Kubernetes and AWS and has delivered Spark orchestration and large-scale ingestion pipelines. He also builds consumer-facing products end-to-end, having solo-developed the React Native app Meala backed by a cloud-native AWS stack. Based in Denver, he brings a research-minded background from UW–Madison and hands-on curiosity that spans robotics control to IoT and deployable ML. Colleagues rely on him for practical systems design that bridges research ideas and production constraints.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Wisconsin-Madison
Study Abroad, Computer Science, Study Abroad, Computer Science at University of Bristol
Contributions:70 commits, 6 PRs, 39 pushes in 1 year 11 months
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