I'm a software engineer working on AI inference from first principles, building a clean, efficient inference framework that cuts through the complexity of existing solutions to make using AI models simpler and more accessible.

I'm currently building a tensor library from scratch called DSC to run AI models efficiently that is:

• Same PyTorch API that you know and love, with 100X less complexity
• Extremely simple and focused on inference
• Built from the ground up for performance and ease of use

Your support helps me dedicate more time to DSC development, including writing better documentation, porting to new architectures, and adding support for more models. Every contribution makes a real difference in bringing simpler AI inference to the developer community.