I led the development of an innovative AI Image Editing tool called GLOMA (Grounded Location for Object Manipulation). With this tool, we achieved a 50% increase in the similarity of image features and a 36% improvement in accuracy, outperforming other image-to-image editing models. GLOMA has made it possible to manipulate the location of objects in images in real-time, simply using textual inputs.

TA for CS 2130 (Computer Systems & Organizations) with Prof. John Hott (Spring 2023).Led lab exercises for 80+ students.

As a Research Assistant at the Collaborative Robotics Lab at UVA, I have gained expertise in programming robots using Python and ROS. I have successfully implemented machine learning-based object detection algorithms and trained policies that have achieved high levels of accuracy in object localization and grasping tasks. I have also demonstrated skills in developing room and obstacle mapping, as well as in implementing reinforcement learning techniques to increase the efficiency and scalability of the system. Through my work, I have contributed to the successful demonstration of human-robot collaboration in manufacturing environments.