Rain Library

Developed Rain, a Python package designed to enhance the training phase of machine and deep learning

models through parallel computing on-premises and in the cloud.

• Built the communication layer between micro-services in the Rain package, optimizing data transfer between

local machines and the cloud.

• Implemented gRPC messages for efficient and rapid data exchange between micro-services.

• Tested algorithms on the Azure cloud platform to validate performance and scalability in distributed

computing environments.