I've built automated firmware testing frameworks at Allegion, using Python to accelerate regression cycles and save over two weeks of manual testing per release.
At Purdue's Biomechanics Research Lab, I construct Python and MATLAB pipelines for continuous time-series data, extracting features that support predictive machine learning baselines.
I also led a four-person team to build DimEnvision, a Flask-based computer vision web application that measures real-world objects using a dime as a reference scale.

