Min Kim
Co-Founder & CTO at Radiant AI
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMin Kim is a Co-Founder and CTO with 8 years of experience building production-grade ML systems and startups, now leading Radiant AI to apply machine learning for sustainable finance. He combines deep research experience in NLP, signal processing, geometric ML and information theory with hands-on production work—previous roles include applied scientist at Amazon (improving CTR and sales) and ML research at Babylon Health and Soul Machines. Min has a strong track record shipping scalable models and infrastructure that serve millions of requests and deliver state-of-the-art results on medical and graph representation tasks. A former organizer of the Auckland Deep Learning Meetup and Oxford-trained engineer, he blends community leadership with scholarly rigor and product-focused deployment. An interesting detail: his background spans both neural TTS that reached human-like quality and interpretable medical time-series modeling, reflecting a rare mix of perceptual and clinical ML expertise.
8 years of coding experience
6 years of employment as a software developer
Master of Science Software Engineering Computer Science, Master of Science Software Engineering Computer Science at University of OxfordBachelor of Engineering (Honours) Engineering Science, Bachelor of Engineering (Honours) Engineering Science at The University of Auckland
English, Korean, Spanish
Github Skills (42)
comprehension10
matching10
expert10
bit8
datasets8
recurrent8
machine-learning7
tensorflow7
deep-learning7
computer-vision6
fact-checking6
replay6
recurrent-neural-networks6
data-analysis5
open-datasets5
Programming languages (3)
Github contributions (5)
localminimum/QANet
Nov 2017 - May 2018
Contributions:29 commits, 1 PR, 6 pushes in 6 months
machine-readingcomprehensiontensorflowreading-comprehensionmachine-reading-comprehension
localminimum/R-net
Aug 2017 - Apr 2018
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
Contributions:16 commits, 1 comment in 8 months
machine-readingdeep-learningmatchingmachine-learningcomprehension
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