- Optimized key rotations by developing new protocols to eliminate race conditions while utilizing new updatable encryption primitives, resulting in an accepted research paper: "QUICKeR: Quicker Updates Involving Continuous Key Rotation" (PoPETS 2024)- Developed a virtual reality application to spatialize music, resulting in an accepted paper at a top HCI conference: "Spatializing Music in Virtual Reality" (SUI 2023)-Developed an augmented reality mobile application for spatial music, culminating in an accepted paper at a top HCI conference: "A Spatial Music Listening Experience in Augmented Reality" (UIST 2021)- Reduced workload imbalance for distributed system backends by developing a front end cache, leading to a paper: "Cache on Track (CoT): Decentralized Elastic Caches for Cloud Environments" (EDBT 2021)

- Developed a pipeline to compile a Python machine learning models into CKKS homomorphic encryption, leading to a 3000 times performance improvement over previous infrastructure- Implemented optimized matrix multiplication FHE kernels, leading to a 6x performance improvement

- Conducted research on optimizing for net benefit of query plan native compilation by modeling native compilation benefit and clustering to group similar query plans, leading to a research paper submission

- Improved accuracy of object detection by enhancing the application of cutting edge neural network models like RetinaNet and Faster RCNN- Authored monthly progress reports for government contracts

- Improved database query efficiency by using machine learning algorithms to predict queries- Reduced workload imbalance for distributed system backends by developing a front end cache- Nominated for 2019 CRA Award for Outstanding Undergraduate Researchers

- Developed automation framework on host computer instructing DUT to run self-diagnostics- Debugged hardware abstraction layer on embedded systems Linux OS

- Automated climate control by implementing software to monitor temperature sensors and control fans- Monitored factory’s power usage by interfacing with power meters using Raspberry Pi