REU Research Assistant for the Musculoskeletal Control and Dynamics (MSKCD) Lab.- Researched intelligent techniques for detecting bodily falls, turns, and other irregular motions.- Facilitated and participated in lab experiments involving biofeedback on human movement behavior.- Implemented a classification model using KNN with DTW for classifying time-series movement data.- Prepared and presented a technical report outlining the implementation and results of the model.

Embedded Software Intern at Quantum Computing Inc (QCi).- Established a client-server microservice wrapper with gRPC using Python.- Utilized Xilinx Vivado, Vitis, and Petalinux to develop device drivers for FPGAs in C++.- Maintained internal documentation describing team workflows and best practices.

Summer Research Assistant for the Movement Control Rehabilitation (MOCORE) Lab.- Researched the use of machine learning in data analysis for EEG/EMG.- Utilized machine learning to build an attention classifier based on eye-tracking data in Python.- Wrote a conference presentation to show results and analysis at Stevens 2022 BRAIN Conference.