Mark Kim-mulgrew is a software engineer with 10 years’ experience focused on AI infrastructure and end-to-end ML training reliability, currently building systems at Meta to make "annoying things less annoying." He previously engineered developer-facing services at AWS and brings a mathematical foundation with an MS from Courant and a BS in Mathematics from Rutgers. A former science writer published in outlets like New Scientist and NPR, he combines technical rigor with clear communication—useful for debugging complex distributed training failures and documenting reliability work. Based in New York, he balances production-grade engineering with an eye for user friction reduction and a penchant for playful projects (formerly maintained a tweetbot).
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at Courant Institute of Mathematical Sciences
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Rutgers University
Contributions:29 pushes, 1 branch, 1 comment in 10 months
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Mark Kim-mulgrew - Software Engineer, AI Infrastructure at Meta