• Impression Tracking – I designed and implemented an impression tracking system within theapplication that detects all visible elements on the screen that are viewed continually for over 1 second, including scrolling. Events are cached in a local SQLite database and sent periodically to the server. 400 million events are tracked per day on Android and has allowed for granular feedback for advertisers.• Closet Redesign – I was the lead Android developer in charge of implementing one of the largest UI redesigns. I rewrote all the UI and logic using Kotlin Flows + MVVM to prepare for the eventual Compose migration expected to happen next year.• Livestreaming – I developed show search, bookmarking, new show discovery, and in-app notifications for Posh Shows. I collaborated closely with other platforms to ensure a unified experience with high performance. These changes resulted in a gross merchandise volume increase of 7.5%.

• Developed modules for the BoA Consumer Mobile application; built new features from the ground-up including LifePlan, Onboarding, Transfers, and Home Valuation Tool• Migrated 4+ modules from Java to Kotlin and handled app architecture redesign (MVP to MVVM)• Uniquely handled direct requests from business as part of a special team for BoA OneApp (200+ pt. sprints)

• Led supplemental teaching sessions and helped students in one-on-one settings for both the introductory Java course as well as the data structure and algorithms course, 15 hour/week commitment• Responsible for writing comprehensive programming assignments, preparing materials and leading two-hour recitations once a week, designing additional practice problems, and managing a team of 10 TAs

• Created an error log analyzing toolkit for on-site error diagnosis in C#: fault log analysis, hexadecimal parsing, and interpretation of voltage peaks for faster extraction of relevant information• Developed an Ethernet driver to interface with the in-house hardware and the higher-level OS and test for Ethernet connection status via local device while setting up hardware off-site

Worked with Dr. Andrew Youssef on analyzing fMRI scans of chronic regional pain syndrome patients.• Use of MATLAB to conduct all of the statistical and analytical techniques• Application of fast Fourier analysis and multiple regressions to analyze oscillatory brain signals• Application of Gaussian smoothing kernels on fMRI data• Implemented algorithms for spectral and frequency analysis for patient data