Gained hands-on experience with the backend architecture of a large-scale MMORPG built in Unreal Engine 5.4, contributing to both client and server systems. Developed key networking features—such as matchmaking, session management, and gameplay state replication—using C++ and Unreal’s networking framework. Collaborated with the live operations team on new feature rollouts, bug resolution, and deployment to ensure stable, scalable production servers.

Trained and evaluated advanced machine learning models—CenterNet, UNet, DINO, YOLOv5, and ECAPA-TDNN—on benchmark datasets like COCO2017 and CIFAR-10 for real-world applications in object detection, image segmentation, and robotics. Built end-to-end ML pipelines for enterprise clients covering preprocessing, inference benchmarking, and deployment using PyTorch and TensorFlow. Authored technical reports and performance analyses recognized by Yunshangyun AI Computing Center engineers for their accuracy and impact on solution delivery.