-Designed and developed the "Vehicle Sync" web application to support collaborative farming among operators in the same field in real time using Vue.js, HTML, CSS, and Java. Application was served within an existing Android application through webview.-Designed and developed the "GNSS Logging Extraction Tool" to support analysis of in-field satellite disconnects using Python, Google Earth, Docker, and proprietary internal technologies. The tool is expected to significantly increase throughput of support jobs.-Participated in daily stand-ups as a member of an Agile team.

-Tutored primarily Freshman and Sophomore students in the fundamentals and applications of the C++ programming language.

-Developed a threat detection sensor to aid unmanned flight of autonomous HALE (high altitude, long endurance) drones-Collaborated with a team of four other engineers to produce quality assured Python code with proven results (70% object recognition success, 1 second heads up object prediction)-Developed YOLO algorithm based neural network approach for rapid object recognition capable of being run on hardware with low power draw

-Developed a data mining tool to further autonomous commercial vehicle efforts using ROS, Python, C++, and a variety of 3rd party tools/apps-Trained in Automotive Functional Safety/ISO26262 protocol-Wrote extensive documentation for development handoff-Developed GUI to broaden product usability-Frequently presented work to upper management on behalf of ADAS team-Drove a semi-truck

-Trained new employees in operation of machinery and workplace safety-Worked to complete high volume of in-house operations with maximum efficiency-Coordinated with managers to implement new payment system