- Creating an augmented reality AI assistant application tailored for scientific research, deployed on the Apple Vision Pro- Utilizing speech recognition technology to enable running computational jobs on Argonne's supercomputer Polaris through voice commands- Presenting application at the Sandia Annual XR Conference and demonstrating research findings in a scientific publication

- Developing national-scale cyberinfrastructure with computer embedded sensors using machine learning, enabling nearly instant edge computing capabilities- Conducting data analysis to detect vehicle type and speed of automobiles of passing vehicles at Northern Illinois University campus

-Worked with professor to develop a CNN training model to learn to detect an individual’s bone age via x-ray image-Generated algorithm in Python to correct thousands of images angle orientations to streamline machine learning training