Summary
Daehyun Kim is a software engineer specializing in machine learning with eight years of experience building deep learning and reinforcement learning systems across industry and research settings. Currently at Meta, he brings a strong JVM and Python background from roles at Clipboard Health, Pathmind, and Skymind, blending production-grade Spring Boot, Kubernetes, and AWS deployments with hands-on model development. His toolkit spans Java, Python, C/C++, Scala, and DL frameworks from DL4J to Torch/Caffe, and he has applied GPU and distributed compute technologies (CUDA, RAY, Hadoop/Spark) to scale training and inference. Notably, he has focused recently on deep reinforcement learning system development, translating RL research into robust, containerized services. Based in Incheon, he pairs solid academic foundations in computer science with practical R&D experience from Samsung SDS, making him equally comfortable prototyping algorithms and shipping them at scale. He also maintains a personal interest in deep learning research and open-source experimentation reflected in his GitHub activity.
8 years of coding experience