• Developed, deployed, and integrated inertial and celestial navigation systems for use in GPS denied environments by unmanned surface vessels and aircraft.• Led integration efforts for navigation systems for various ship designs currently under development.• Conducted land-based testing for navigation systems integration in a fast-paced lab environment.• Collaborated across departments to create and modify navigation documents and MBSE models while maintaining proper version control techniques.

• Developed a UAV (Unmanned Aerial Vehicle) system capable of self-localization in a GPS denied environment using advanced computer vision and machine learning methodologies, leveraging its own shadow to gather accurate positioning data.• Oversaw operations within a mechanical engineering laboratory while mentoring undergraduate students engaged in robotics senior design capstone projects.• Developed a wildfire detection and suppression system leveraging infrared thermal imaging technology to autonomously detect wildfires more rapidly than satellite detection methods. • Utilized Python with OpenCV, ROS, and Linux to develop and integrate the GNC software algorithms across multiple platforms.

• Engineered a prototype ground robot utilizing Arduino IDE and SolidWorks, tailored for use by high school students who have a keen interest in STEM education, that was an integral part of a comprehensive robotics curriculum during a week-long summer camp.

• Evaluated student assignments and provided constructive feedback to support a culture of continuous improvement and feedback-driven learning.