Architecting AI Infrastructure for U.S. Winter Olympians
🤖 In collaboration with Google DeepMind, the team built an AI pose-estimation pipeline that converts single 2D video into a 63-joint 3D biomechanical model for U.S. Olympians. The system uses learned temporal priors to infer occluded joints and delivers near-instant results by running models on statically provisioned TPU slices. Orchestration, scaling, and security are managed with Vertex AI and VPC private endpoints.
