Sean Kim is a software engineer based in San Francisco with nine years of experience building cloud-native and distributed systems. He has shipped security-sensitive features for Microsoft’s Low Code platforms—leading the credential manager launch on Azure API Management—and recently joined Merge’s Foundation team to drive core platform capabilities. Comfortable across backend services, APIs, and reliability engineering, Sean blends production-grade engineering with a passion for making systems transparent and empowering users. His background includes teaching computer systems at Carnegie Mellon and building accessibility-focused and fault-tolerant pipelines during internships, reflecting a practical, user-centered approach to infrastructure. Currently expanding his machine learning expertise through a professional program at the University of Washington, he pairs rigorous systems thinking with growing ML fluency.
9 years of coding experience
5 years of employment as a software developer
Professional Master’s Program Machine Learning Applications, Professional Master’s Program Machine Learning Applications at University of Washington
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Carnegie Mellon University
High School Diploma, High School Diploma at Korea International School
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