Used knowledge of Embedded Systems and the C language to guide students one-on-one through projects using the AVR ATtiny817 microcontroller

Met with professors and co-workers to discuss and brainstorm potential projects that would allow students to learn the fundamentals of Computer Systems Engineering

Organized multiple tests to check robot’s vision system determining sensor blind-spots and concluding on how surface types and colors affected robot’s perceived localization

Developed methodology to examine robot’s movement to mitigate wheel-slip using external camera and robot’s IMU data - Implemented OpenCV in Python on Linux machine to examine collected data. Compared camera to IMU data to discern

Worked on robot’s Linux software stack to be compatible with new hardware (x86)

Used knowledge of Linux shell and communicated with FAEs of third-party vendor to resolve network driver issues

Processed and documented all ports on robot to streamline future hardware debugging and manufacturing. Used Linux

Wrote an iOS application using Swift that could communicate with robots using HTTP Post/Get commands and internal API to send robots automatically to destination

Worked with Sterile Ray (Medical Company) to construct a “butler” style application for a robot traversing an operating room