• Cast product vision for electromechanical medical device with MRI imaging applications. Led 3 rounds of prototyping• Developed all embedded firmware for product in C for STM32, including motion control, thermal control, and digital synthesis algorithms, as well as device drivers and communication interfaces• Developed multithreaded applications in QML and C++ on embedded Linux system. User interface and backend. • Developed all custom electronics in the product and cut product cost by ~50%. Custom amps, STM32-based digital control systems, power distribution, SoM breakout board, motor drivers.• Built electronics lab for in-house prototype board assembly, programming, and testing.• Generated design control documentation in compliance with ISO 13485 and 14971 standards, requirements inline with IEC 61010• Designed automated, motor-controlled benchtop reactor system to test and optimize product performance across large physics/chemistry-based parameter space. Controlled via MATLAB with embedded firmware in C.

• Led mechanical design of articulating components in 4DOF robotic endoscope, from concept to builds for FDA IDE submission• Utilized MATLAB to develop and analyze end effector kinematic mappings• Developed automated manufacturing equipment using C++/embedded Linux systems, as well as custom fixtures for testing component-level requirements• Developed automated test equipment in LABVIEW, incorporating CAN bus, UDP, and SPI protocols. Automated processing in MATLAB. System drove ~3x improvement in product reliability.• Communicated cross-functionally with software, electrical, and mechanical engineering teams to integrate and test endoscope subsystems.• Generated design control data for in-house manufacturing build intended for IDE submission

• Investigated injection molded parts to determine root cause of failure in manufacturing• Coordinated and reported validation/verification activities for FDA regulated medical devices • Developed new test methods for medical devices, including mechanical fixturing using SOLIDWORKS

• Assisted in development of embedded control system for robotic exoskeleton using C++• Developed desktop application in Python and C# to control and communicate with exoskeleton• Optimized software to increase embedded clock cycle by 5x, and GUI improved overall system usability• Published first author manuscript detailing software approach

• Wrote custom Matlab scripts to filter 3D gait data, learned Vicon and V3D packages to process motion capture data• Led and completed research project analyzing required cognition for powered and passive knee prostheses• Gave oral presentation at BMES 2019 (2000+ attendees), presented poster at SNCURCS

• Designed study, collected and analyzed motion capture, EMG, and motor learning data for 12 human subjects• Presented research at undergraduate research symposium and BMES 2018 Annual Meeting (2000+ attendees)• Co-authored journal manuscript published in Gait and Posture (Zellers, et. al., Gait & posture 70 (2019): 59-64.)