Summary
Joseph Kim is a software engineer with 10 years of experience specializing in AI/ML infrastructure, currently building scalable ML systems at Meta after prior roles at Google and DeepLearning.AI. He combines a strong mathematics background from Penn State with hands-on software engineering—shipping production features, leading large-scale code and model migrations, and improving codebase health at tech-scale. Joseph has deep experience in developer education and mentorship, having created course content and supported thousands of learners at Codecademy and mentored students through DeepLearning.AI. He is comfortable across the stack—from SQL data pipelines used for model training to accessibility-aware front-end features—and has been recognized internally for high-impact contributions. Based in the Greater Seattle Area, he pairs rigorous academic foundations with a practical focus on making ML tooling reliable and production-ready. An often-overlooked strength is his sustained commitment to teaching and documentation, which amplifies team knowledge and accelerates onboarding.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Mathematics, Bachelor of Science, Mathematics at Penn State University
Graduate coursework, Graduate coursework at Stanford University
English, Korean