David Paprocki
About David Paprocki
David Paprocki is an engineer with a Bachelor of Science in Electrical Engineering from the Illinois Institute of Technology. He has experience in developing testing automation tools and has worked at Navistar Inc since 2020, where he focuses on hardware-in-the-loop functionality and calibration processes.
Work at Navistar
David Paprocki has been employed at Navistar Inc as an Engineer since 2020. His role involves various responsibilities, including the creation of Functional Calibrations and the development of DCM files for testing purposes. He has previously worked as a College Intern at Navistar in 2018 and 2019, where he gained experience in testing automation and hardware verification. His current position allows him to utilize tools such as INCA, CANalyzer, BUSMASTER, and SAE J1939 to enhance the functionality of Hardware in the Loop (HiL) systems.
Education and Expertise
David Paprocki studied Electrical Engineering at the Illinois Institute of Technology, where he earned a Bachelor of Science degree from 2016 to 2019. He also attended the College of DuPage for 11 months in 2017. His educational background has equipped him with the skills necessary to develop testing automation tools using programming languages such as Python, Groovy, and UML. His expertise includes creating transfer functions for sensor and actuator simulations modeled in Simulink.
Background
David Paprocki's academic journey began at the College of DuPage before he transferred to the Illinois Institute of Technology. He completed his studies in Electrical Engineering, which laid the foundation for his engineering career. His internships at Navistar provided practical experience that complemented his academic knowledge, allowing him to apply theoretical concepts in real-world settings.
Achievements
During his tenure at Navistar, David Paprocki has developed a Testing Automation tool and created Functional Calibrations. He has also contributed to the verification of HiL functionality through the development of DVP&R documentation. His work includes running and analyzing IO and CAN regression tests to identify issues with HiL and software functionality. Additionally, he has standardized lab processes by writing technical documents.