Developed a Python-based image histogram computation tool, ihist, for the conda-forge/staged-recipes repository, focusing on accelerating image analysis within packaging validation workflows. The work centered on building efficient Python bindings that leverage multi-threading and optimized algorithms to compute integer image histograms at high throughput. By integrating ihist into the staging and packaging pipeline, the developer enabled faster and more reliable validation and testing of image data, directly supporting improved release cycles. The project demonstrated skills in Python development, data processing, and package management, and included collaborative contributions to both code and documentation, emphasizing performance engineering in real-world packaging scenarios.