Michael Shin is a pragmatic software engineer based in Austin with a decade-plus of hands-on experience building scalable backend systems and APIs. A Carnegie Mellon CS graduate, he has shipped production services across high-performance finance and consumer platforms at Citadel, Valora, and GoDaddy, often working with Spark/Hadoop ecosystems, Node.js, Kubernetes, and ETL pipelines. He repeatedly bridges analytics and customer-facing interfaces—designing data pipelines that feed both internal analytics and external APIs. Known for keeping CI/CD healthy and practical, he pairs strong engineering fundamentals with a focus on reliability and operational tooling. Colleagues can expect a developer who moves fluidly between low-level sensor code and large distributed data systems, with a preference for direct, no-contact communication.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, 3.54/4.0, Bachelor of Science (B.S.), Computer Science, 3.54/4.0 at Carnegie Mellon University
Contributions:6 commits, 10 pushes, 5 branches in 1 year 4 months
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