Elijah Miller

• Developed and optimized test automation software in Python to improve efficiency and add features. o Built GUI-based test automation tools for chassis dyno testing. o Used Git to review pull requests and integrate revisions on a shared project, applying Agile standards. o Found, reported, and resolved software needs through Jira. o Implemented calibration map-lookup algorithm to simulate controller software. o Created base vehicle-state classes for robotic test control. • Created a cloud server data transfer app using C# .NET, integrating API from existing browser-based tool. o Applied multipart upload and download protocols to eliminate size limitations. o Implemented threaded automatic upload and download processes for one-click operation. o Migrated to standalone application separate from existing tool framework. • Executed engine control software testing with automation software. o Used self-developed software to collect training data sets for Artificial Neural Network models.

▪ Calibrated embedded state-estimation and control model to high accuracy standards. ▪ Designed and used computational data processing, simulation, and optimization tools in MATLAB and Python. o Built batch data file conversion MATLAB app 50% faster than existing applications. o Developed ash-correction factor validation tool in MATLAB to simulate 100,000 miles in minutes, with calibration input, output, and edit functionality for iterative simulation and optimization. o Created MATLAB app tool for statistical OBD diagnostic separation analysis, enabling virtual tuning. o Used vehicle control model in Simulink to create virtual Software in Loop (SIL) Design of Experiments (DOE) test for air control diagnostic calibration options, eliminating field issues. o Wrote Python scripts for 50-vehicle fleet data visualization and analysis from cloud data location. o Ran info session for team to teach Python scripting. ▪ Generated predictive correlation model calibration values with genetic algorithm. ▪ Used statistical analysis to minimize type-I error in OBD diagnostic calibration. o Created and presented milestone reviews to chief engineer. ▪ Developed and optimized test automation software in Python to improve efficiency and add features. o Implemented calibration map-lookup algorithm to simulate controller software. o Implemented base vehicle-state classes for robotic test control. o Used Git to review pull requests and integrate revisions on a shared project. ▪ Used Teams to collaborate internationally with teams in Italy and Brazil and coordinate software and hardware integration. ▪ Validated model accuracy using vehicle emissions instrumentation array. o Conducted in-vehicle testing in a variety of field conditions on ride trips, test tracks, and emissions lab. ▪ Led DFSS development of new calibration procedure for component aging correction model. ▪ Diagnosed hardware and software issues in calibration fleet via data analysis and hands-on vehicle operation.

▪ Responsible for full-vehicle squeak and rattle validation testing from vehicle setup and instrumentation to issue reporting. ▪ Conducted root-cause analysis on 3-5 vehicles each day for noise issues, including hardware teardown. ▪ Conducted full-vehicle squeak & rattle evaluations on four-post shaker and road facilities. ▪ Applied engineering principles to diagnose and resolve component manufacturing and design issues. ▪ Led buy-off ride for new vehicle program. o Managed vehicle sourcing, setup, instrumentation, and issue resolution. ▪ Used Siemens LMS for data-driven slosh noise investigation, analyzing 20+ samples in different conditions.

▪ Calibrated Extended Kalman Filter model-based embedded control system for diesel SCR/DEF system hardware to minimize NOx emissions. ▪ Developed multiple MATLAB validation scripts to optimize OBD diagnostic calibration enable criteria. ▪ Executed testing on public roads, emissions laboratory, and engine dyno. ▪ Used thermocouple and pressure transducer instrumentation to calibrate exhaust pipe temperature model to 5% error.

▪ Managed full hardware and software operation of four brake subsystem controls HIL benches. ▪ Simulated hundreds of vehicle maneuvers, including ABS and TCS, in dSPACE and CarSim. ▪ Responsible for hardware and simulation setup for each bench, including test instrumentation (transducers and load cells), module harness wiring, and CAN modeling. ▪ Built Simulink models for full CAN message bus simulation on each new network protocol. o Implemented new universal Simulink model debug process to cut debug time by 90%. ▪ Used MATLAB and CANalyzer for efficient data analysis and performance verification. ▪ Monitored VTS and FMVSS system requirements in DOORS.

▪ Assisted full machine shop team in fabrication and assembly of initial prototype vehicle systems. o Designed sheet-metal and 3D printed fixtures for welding in Siemens NX. o Drafted hundreds of sheet metal parts for waterjet/laser production and press brake folding. o Used Faro Arm for assembly dimensioning on hydrogen fuel cell.

▪ Designed SOLIDWORKS model and prototype for power tool concept.