• Augmented Reality Racing Line System running on an NVidia Jetson TX2.
  • Microservice-based architecture comprised of Python, C++, Javascript, and MySQL components.
  • Winner of 2019 Graduating Class Senior Design Competition.
  • Honors Thesis was an attempt at replacing L-BFGS-B Gradient Descent optimizer with a more reliable, machine-learning based approach.
DRAGLINE Team: John Young, Kameron Paulsen, Josh Christensen, Atul Sharma

DRAGLINE was an augmented reality driver assist system with web-accessible vehicle and driver metrics. The system was developed and integrated with full hardware-in-the-loop testing for my undergraduate capstone project at the University of Utah. DRAGLINE was completed as a team of four, with my peers being John Young, Kameron Paulsen, and Atul Sharma.