Junhwi Kim
Software Engineer at Amazon Web Services (AWS)
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolJunhwi Kim is a software engineer with nine years of experience building large-scale, production AI and distributed systems, currently contributing to AWS S3 Vectors and previously driving inference features for AWS Bedrock. He has a strong ML research background from Dartmouth—publishing work on deep learning for histopathology and earning High Honors for a thesis on multilingual BERT—paired with hands-on industry impact at Amazon, Oracle, and Seoul Robotics. Junhwi designs and ships systems that improve availability, latency, and cost-efficiency (e.g., dedicated vector query engine, prioritized inference tiers, and cross-region inference pooling). He founded Dartmouth’s Machine Learning Group and has mentored interns and new hires, blending technical leadership with community-building. Based in Vancouver, he brings both applied research instincts and production engineering rigor to AI infrastructure problems. A less obvious strength is his experience scaling ML solutions across domains from LiDAR and medical imaging to cloud-native inference platforms.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Engineering Sciences, Bachelor’s Degree Engineering Sciences at Dartmouth College
English, Chinese, Korean
Github Skills (14)
gradient-descent10
adversarial-learning10
bayesian-inference10
python9
probabilistic-programming9
variational-inference9
bayesian9
algorithm9
mcmc9
reinforcement-learning4
proximal-policy-optimization3
theano1
machine-learning1
modeling1
Programming languages (1)
Github contributions (5)
DartML/SteinGAN
Nov 2016 - Apr 2019
code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
Contributions:41 commits, 23 pushes, 1 branch in 2 years 5 months
adversarial-learning
dilinwang820/Stein-Variational-Gradient-Descent
Jul 2016 - Apr 2019
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
Contributions:45 commits, 44 pushes, 1 branch in 2 years 8 months
bayesian-inferencegradient-descent
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