Dakota Kim

Director Of Engineering, Applied AI at EQengineered

Boston, Massachusetts, United States
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Summary

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Senior
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Dakota Kim is a Director of Engineering specializing in applied AI and full-stack systems, with 12 years of experience building cross-platform web, mobile, and hardware-connected products. He combines hands-on engineering—shipping client-facing apps, developer tools, and embedded systems—with leadership in architecture, developer experience, and sustainable team velocity. At EQengineered he has led front-end toolkits, design systems, and generative-AI integrations, and he recently shipped The Big Idea, a local-first PWA featuring RAGTime, a zero-server PDF RAG solution. He also runs MadWatch, an independent studio for prototyping human-centered AI tools, reflecting a bias toward elegant code that solves messy, real-world problems. Based in Boston, Dakota pairs pragmatic delivery with a security and developer-experience mindset shaped by diverse projects from consumer hardware to enterprise microservices.
code12 years of coding experience
job4 years of employment as a software developer
bookBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Massachusetts Boston
bookBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Salem State University
bookLynn English High School

Github contributions (1)

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DakotaCKIM/Carduino

Mar 2014 - May 2014

Contributions:19 commits in 1 month
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Dakota Kim - Director Of Engineering, Applied AI at EQengineered