- Led the development of a dynamic orientation app for Cornell and successfully beta launched to 80+ users- Aligned frontend and designer roadmaps to minimize delays between completion of design deliverables and the beginning of development- Developed interactive prototypes for app and conducted multiple UX interviews to uncover potential usability obstacles

- Establishing a data engine baseline for future model testing of a decentralized coordination model for adaptive drone cooperation in a shared airspace environment through leveraging multi-agent imitation and reinforcement learning- Implementing an adaptation of the online Decision Transformer model profiling for multi-agent environments to enable agents to perform actions given individual observations and rewards

- Applied time series modeling to forecast company closure as well as classical supervised techniques to help enterprise partners make more informed decisions- Created microservices to port endpoints in the form of powerBI to company website

- A part of the Autopilot Software Subteam that involves configuring and tuning the autopilot for each of the team's aircrafts, as well as implementing software to aid in autonomous flight planning, which includes the autopilot ground station and path planning algorithms.- Worked with other members to implement a bottle airdrop module for competition. Aims to drop water bottles autonomously onto targets.- Modernized path planning optimizations that use Bezier calculations and authored detailed project documentation

- Developed a cross platform installation app using Flutter for Android and iOS, facilitating seamless integration of new IoT systems for homeowners- Enhanced user experience by employing Dart and writing queries with SQL to present visually meaningful data- Tagged HVAC temperature cycles for algorithm training to enhance detection of decreasing performance over time