Erik McCutchen enhanced the LLNL/Surfactant repository by implementing expanded Perl file type recognition and interpreter mapping. Using Python, he broadened the system’s automated file-type detection to accurately identify Perl scripts and modules by adding support for .pl and .pm extensions. He also updated the interpreter mapping to resolve 'perl' at runtime, improving the accuracy of code scanning and classification workflows. This work leveraged his skills in file type identification and scripting language support, addressing the need for more robust automation in heterogeneous codebases. The feature was delivered as a focused, well-scoped change, demonstrating depth in targeted engineering problem-solving.