Improved the usability of the targeting, eligibility, and segmentation ecosystem with mTarget v1 by 80% based on qualitative metrics from user interviews and usability testing. Currently designing a net-new platform, mTarget, for marketers and marketing operations to uplift the UI/UX of the current ecosystem when sending out campaigns for AMEX Offers. Built a pattern library for mTarget based on modifications and arrangements of components from AMEX’s design language system.

Programming Intern at Tufts University’s Center for Engineering Education Outreach

May 1, 2023 - September 30, 2025

Created an interface for children to use to control and make adjustments to a LEGO SPIKE Prime robot when training it. Wireframed and iterated on multiple prototypes for interactive iOS games designed to promote computational thinking in children. Collaborated with a Ph.D. student to create a more intuitive user experience when developing the games, tailoring them to the users.

Summer Laboratory Intern at Dr. Karen Panetta’s Vision and Sensing Laboratory

August 31, 2021 - September 30, 2025

Generated a dataset using Pupil Labs’ eye-tracking technology to improve the depth of data outputs using machine learning. Wrote a Python program to segment video and data outputs created when a video is recorded using the eye-tracking system to streamline the data collection process. Wrote a Python program to segment an object within an image based on seeded region growing; The object chosen is based on the eye-tracking coordinates generated by the eye tracking device. Segmented over 3,000 video clips to be used as data to train a program to recognize types of car accidents using machine learning.