Daniel Kim
Applied AI Engineer at Ambush
California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Kim is an Applied AI Engineer with a decade of hands-on experience building full-stack web applications and ML-driven products, rooted in a programming journey that began in middle school. He has co-founded a realtime collaborative whiteboard, served as a founding engineer shipping an MVP in 10 days, and built backend services for an NFT marketplace—demonstrating fast iteration, product-first engineering, and cross-functional leadership. Comfortable across frontend, backend, and ML stacks, he has implemented realtime React-Firebase systems, recommendation models using embeddings, and production APIs for web3 marketplaces. Based in California, he blends startup grit with practical economics training from Santa Clara University, favoring rapid experimentation and pragmatic system design. A less obvious strength is his early exposure to sales-driven ML at a machinery firm, which shaped his focus on delivering models that directly drive business outcomes.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree Economics, Bachelor's degree Economics at Santa Clara University
Github Skills (15)
tinder4
react2
javascript2
socket-io1
hybrid1
wait1
chat1
typescript1
mobile-web1
socket1
nodejs1
firebase1
chat-application1
angularjs1
angular1
Github contributions (5)
DeeHKim/Toy-Problems
Feb 2016 - Jun 2016
Contributions:49 commits, 48 pushes, 1 branch in 4 months
DeeHKim/DeeHKim.github.io
Feb 2016 - Apr 2016
Contributions:57 pushes, 1 branch in 2 months
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