• Served as a Software Developer for the Racing Fundamentals Team, working on Artificial Intelligence for Forza Motorsport

• Designed and experimented with an intuitive interface for developers and designers to optimize AI behavior for heavy traffic scenarios using heuristic optimization

• Utilized reinforcement learning and statistical techniques to better Computer Adaptive Testing (CAT) under Professor Chris Piech (Stanford Department of Computer Science) and Professor Ben Domingue (Stanford Graduate School of Education)

• Fused Thompson Sampling techniques and Item Response Theory in order to design a robust question selector for CATs

• Served as a Software Developer and Product Management intern on the Universal Store Core Commerce Team

• Augmented the UI, core functionality, and security protocols for the CashCloud Application, a real-time visualization and statistics monitor of Microsoft Universal Store purchases

• Worked on developing a markerless hand-tracking and pose-detection pipeline for small primates

• Experimented with various sensors including Leap Motion, Microsoft Kinect, and Intel RealSense

• Leveraged technologies from cutting-edge open-source projects, YOLO (Real-Time Object Detection) for bounding boxes and Robust Cascaded Pose Regression for landmark estimation