Jinsol Park is a data science engineer who interned with the RAPIDS team at NVIDIA during the summer of 2024. She specialized in optimizing the speed and memory usage of machine learning algorithms for large datasets. Jinsol has a background and interest in general systems for machine learning, such as optimizing memory usages and reducing communication latency in distributed training environments for large workloads. She is currently completing her M.Sc. in computer science at Carnegie Mellon University to further advance her expertise in this field.