Internship position engineering a Python package enhancing AI model explainability viaactivation clustering. Responsibilities included coding functions for model training, evaluation, explainability, and out-of-distribution detection with PyTorch Lightning, analyzing model architecture fitness and cluster characteristics for target datasets and hyperparameters, and creating a command-line interface and detailed documentation to streamline deployment.

Internship position working with adversarial artificial intelligence and workflow orchestration tools. Responsibilities included using 3DB to highlight vulnerable areas on a 3D model to inform adversarial patch placement. Used Python, 3DB, Blender, and Git.

Internship position working with adversarial artificial intelligence in both a development and research role. Responsibilities included creating metrics to evaluate adversarial attacks, testing how changes to parameters such as patch size impacted performance and applying and documenting various types of open-source adversarial attacks. Used Python, Foolbox, Seaborn, Numpy, Pandas, Git, and PyTorch.

Internship position working on the SkyKeeper command and control battle manager. Responsibilities included debugging product graphical user interfaces (GUI), integrating internal software function interfaces, and writing software to record internal product messages during real-time system simulation. Used C++, Java, RTI DDS Middleware, Netbeans, and Git.