• Architected data aggregation service responsible for querying, filtering, and processing hundreds of thousands of items for capital recovery

• Re-architected big data jobs to run more efficiently, thereby saving processing time and allowing subsequent capital related jobs to run earlier

• Migrated AWS Lambda jobs to AWS Batch to handle large data-set processing at scale to handle timely execution

• Developed CLI to assist with AWS Batch testing

• Architected Video Conference Replay algorithm which generates replay media

• Designed and implemented a dynamic video layout algorithm which changes video structure based on participant count

• Developed personal-link based conference rooms, which attaches a video conference to a given link that is readily available when accessed

• Architected face and voice recognition system for proctoring application to monitor and reduce academic misconduct during examinations

• Developed LockDown Browser for Windows and MacOS to simulate a controlled environment reducing chances for academic infringement during examinations

• Utilized MVVM paradigm to develop an executable which reduced installation process by more than one fifth the time

• Prototyped and implemented facial authentication system reducing login speeds by 80%