Machine learning, C++: Added features and improved efficiency of YOLO object detection algorithm.

Designed and developed a parallelized image processing tool for automated machine learning testing.

Series of independent, self-directed assignments.

Added frontend and backend features to a Python application for testing photonic integrated circuits.

Interfaced with lasers and other photonic devices using TCL scripts.

Paired with Electrical Engineering research team on UI design and development.

Avionics projects using embedded C and assembly; ported and automated unit tests.

Documented existing code/algorithms with UML.

Internationally diverse scrum team.