Model Predictive Control LabResearch interests:- Model predictive control for nonlinear systems in tightly constrained environments- Data-driven reachability analysis- Autonomous racing

Vehicle Technology DirectoratePerformed research in AI driven predictive maintenance for Army aircraft. Developed deep learning models for waveform classification, autonomous learning of condition indicators in mechanical components, and sequence regression for learning vehicle dynamics models.Extensive use of Tensorflow, Python, and multi-GPU computing

Berkeley Emergent Space Tensegrities LabResearch in the motion planning and trajectory generation of tensegrity robots. MS thesis investigated modeling and path-planning for a spherical tensegrity robot capable of hopping and rolling modes of locomotion.Extensively used MATLAB and C++

Worked on the control of autonomous surface vehicles using distributed and robust control techniques to allow for multi-agent trajectory tracking in formation

Participated in the RoboBoat and RobotX autonomous surface vehicle competitions where I developed color and object recognition algoritms, obstacle avoidance logic, and high-level control logic via finite state machines.Extensively used MATLAB & Simulink.

Leader of the production team for a student run musical theater group. Facilitated the construction of sets, lighting design, audio design and other aspects of technical theater.