Summary
Junhwi 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.
9 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