About

Daehyun Kim is a highly skilled Machine Learning Engineer with over 15 years of experience in the field. He currently works at Clipboardhealth as a Senior Software Engineer and Machine Learning Engineer, where he is responsible for developing a Deep Reinforcement Learning system. Daehyun's educational background includes a BS in Computer Science, which has equipped him with the necessary skills to excel in his career. He has extensive experience working with various programming languages, including Java, Python, C/C++, Scala, and Lua. Additionally, he has worked with a wide range of frameworks and tools, including Spring Boot, RAY, AWS, Docker, Kubernetes, AnyLogic, DL4J, Azure, Torch, Caffe, Hadoop, Spark, Android, OpenCV, Cuda, and TinyOS. Daehyun has worked with several companies in the past, including Pathmind and Skymind.ai, where he held the positions of Machine Learning Engineer and Deep Learning Engineer, respectively. He has also contributed significantly to the development of various technologies, including ML, AWS, Reinforcement Learning, OpenCV, Spark, Kubernetes, Docker, Hadoop, Spring Boot, Spring, Azure, Deep Learning, Python, Scala, Java, and Android. Daehyun's technical expertise and extensive experience make him an asset to any organization he works with. He is passionate about machine learning and is always looking for ways to improve his skills and knowledge in the field. With his exceptional problem-solving skills and ability to work well under pressure, he is a valuable addition to any team.