Test Automation Engineer

Space Exploration Technologies (SpaceX)

  • Ran and managed large-scale testing projects with: first stage landing legs 2.0 | fairing deployment pushers | parachute test instrumentation systems | Dragon capsule astronaut seats
  • Developed test matrices adhering to NASA standards and balancing test complexity, cost, and effectiveness
  • Designed and analyzed structures, electrical circuits / PCBAs, fluid flow, and thermal systems
  • Designed software tools to enable pre and post-test analysis of distributed loads using foam load shoes
    • Pre-test: excel calculator estimating load distribution with discrete non-linear spring stiffness approximation
    • Post-test: pressure sensitive film paper with a computer vision algorithm to create a pressure
    map
  • Wrote an extensive Python library to automatically generate test reports using pass/fail parameters from excel
  • Wrote a library of Python helpers to convert and down-sample Nation Instruments data to usable csv/xls
  • Automated test stands utilizing Python to generate xml instructions

Engineering Intern / Masters Researcher

NASA Langley Research Center

Click here for the Demonstrator video!
  • Programmed a DC motor for precise speed/position control using PID and an Arduino for motor I/O
  • Built a physical model of a heliogyro solar sail blade and matched natural frequency with design concept
  • Created a computer vision application in Python to track targets and capture the model motion
  • Performed system identification using Observer/Kalman Identification and transfer function estimation on both the motor and blade model. Used models to design a novel control algorithm