Worked on stabilizing WebGPU model exports in the ignaciosica/tinygrad repository by addressing a critical issue with weight lookup following changes to the compile_net key structure. Used Python to debug the interaction between WebGPU and compile_net, ensuring that model export processes correctly identify and initialize weights. Introduced a regression test to automate validation of weight initialization, which improved the reliability of WebGPU exports and reduced the risk of production defects. Focused on machine learning workflows and model export logic, while also enhancing unit testing coverage to support continuous integration and deployment pipelines, ultimately strengthening deployment reliability and post-release stability.