• Developed software interface for the RiverPro ADCP with ScalAR Lab’s sensing and autonomy stack

• Developed Machine Learning pipeline using PyTorch and CUDA to learn complex dynamics

• Experimentally evaluated and analyzed the proposed data-driven system identification

strategies

• Conducted experimental testing and validation of single and multi-robot experiments.

Graduate Teaching Assistant for the following courses offered by UPenn:

• CIS520 Machine Learning

• CIS680 Advanced Robotics

and the following courses offered by UPenn on Coursera:

• Aerial Robotics

• Computational Motion Planning

My responsibilities as a TA involved:

• Regularly checking discussion boards, problem reports, and responding to learner questions within 48 hours

• Clearly communicating learner questions about concepts

• Helping learners debug Matlab code

• Fixing bugs in assignments and updating the course

• Developed software interface for the Sequoia LISST-ABS sensor with ScalAR Lab’s sensing and autonomy stack

• Developed autonomous sampling strategies for an unmanned surface vehicle using the above sensors

• Assisted in the experimental testing and validation of single and multi-robot experiments