• Engaged in Research at ASU Neuromuscular Control and Human Robotics Laboratory in Adaptive Control and Optimal Control applications in Physical Human-Robot Interaction and Rehabilitation Robotics.• Developed Adaptive, Model Predictive, and Non-Linear Control software, real-time control systems, algorithms in C++ and Simulink, and configured TCP/IP networking over Ethernet.• Spearheaded construction of a novel Ankle Rehabilitation Robot Controller that enhanced performance by 9.85%.

• Lab Teaching Assistant for the course EEE 404: Real-time Digital Signal Processing• Instructed students in Circuit Design, Image processing in MATLAB, and Embedded Firmware Development in C and ARM Assembly on STM32F407G, utilizing communication protocols I2C, USART, etc.

Lab Teaching Assistant for the course EEE 334: Circuits IIAnalog and Digital Circuit Design Labs

Teaching Assistant for the course EEE 404 Real-time Digital Signal Processing

• Communicated with clients in the automotive industry and aided team in data analysis and product development.• Collaborated with cross-functional team from BOSCH to create a traffic modeling framework for Bengaluru and invented solutions by building Predictive Models which minimized vehicle delay in network by 29.6%.• Utilized CAN bus, encoders, and Arduino to build drive-by-wire system at 75% reduced cost for driving simulator.• Developed Machine Learning algorithms using TensorFlow for travel time prediction from Real-Time GPS data.• Optimized PTV Vissim microscopic traffic flow model with Genetic Algorithm in Python and MATLAB.• Partnered with Bengaluru Metropolitan Transport Corporation in data acquisition, analysis, production of Transit Ridership Prediction Algorithms, and Software Development to improve the City's public bus system employing Machine Learning, Google API, and QGIS.