Worked on the fastmachinelearning/hls4ml repository to enhance build process reliability by implementing halt-on-error behavior in the build_lib.sh script for Catapult, Symbolic, and Vivado Accelerator backends. Using bash and shell scripting, introduced error handling that stops the build immediately upon encountering failures, which surfaces issues such as missing dependencies early in the process. This approach prevents cascading build errors and aligns error handling across multiple backends, streamlining debugging and reducing delays in continuous integration workflows. The work focused on build automation, ensuring that errors are caught at the source and improving overall maintainability of the build system.