• Maintain and release an application with 500k+ downloads on Google Play, averaging a crash-free user rate of 99.92%

• Designed and implemented a friendship model for a user base of 50,000 people

• Built ML pipeline using Google’s ML Image Classification model to cluster user photos based on locations and time

• Created a username/hashcash registration system with additional phone number verification via OTP

• Implemented real-time updates of a user’s feed, including comments, reactions, or deletions

• Expanded user reporting system by removing posts from public feed and preventing future occurrences

• Multiple improvement to app's push notification system: tracking delivery times and success rates, developing an alert/backup system for failed pushes, and parallelizing tasks using worker pools

• Expanded usage of Google's libphonenumber library to include processing of VoIP and fixed-line numbers

Tutored students in a variety of data structures: heaps, trees, hashmaps, linked list, etc. by demonstrating their creation, functionality, and efficiency.

• Develop the front-end of a contact application by using JavaScript to make XMLHttpRequests using Ajax and jQuery

• Design a processing feature to create, edit, and remove contacts in Perl, Catalyst, and SQL in a team of three people

• Update ten applications to compile with new accessibility standards while maintaining server functionality