Technical lead of several manufacturing web based applications and hardware devices used to troubleshoot and root cause vehicle electrical issues during assemblyResponsible for developing and deploying software algorithms, resource planning and team engagement, and maintaining business technical requirements to achieve project milestonesKey Competencies: Azure DevOps, CI/CD pipelines, Kubernetes, Java, Python, C++, Agile, Project Management

Led the development of applying machine learning techniques to automotive manufacturing problemsImplemented neural network based models – object classification/detection, character recognition, autonomous path findingKey Competencies: Python, Tensorflow, Machine Learning, Docker, Linux

Performed battery hardware testing and data analysis for development of production battery algorithms and controlsImplemented and tested controls software and algorithms to ensure both customer requirements satisfaction and software qualityDesigned and developed battery state estimation algorithms on GM electrified vehicles – specializing in State of Charge Estimation, Power Predictions, Storage Capacity Estimation, Cell Balancing Control, and State of Health

Designing and developing control system algorithms for hydrogen fuel cell systems, including fuel delivery and pressure control. Developing fault diagnostic algorithms to detect subsystem malfunctions and develop remedial strategies.Performing algorithm and software implementation using Matlab/Simulink/Stateflow.Performing algorithm validation using offline plant models, MIL simulation, and module testing.Interpret and analyze test and simulation data using Simulink, INCA/MDA, and similar development tools and generate reports from findingsInterfacing with hardware design and test engineers to develop test plans to generate control relevant dynamic response data.Defining development tests and calibrations to improve system performance and control algorithm capability to follow setpoint, reject disturbances within a typical automotive drive cycle.Following structured software design and implementation principles and practices with experience using software change and configuration management systems.Design for Six Sigma Black Belt and Green Belt training certification.

Weekly school based mentoring that prepares high school students to have successful careers and personal lives through the development of character values, goal setting, and strategic plans.

Automotive engine dyno testing, development, and calibration with focus on engine performance and emissionEngine combustion analysis and development with focus on gasoline direct injection turbocharged enginesProject planning, execution, and budget tracking of engine test cell daily activitiesEngine controls development, ECU bench testing, and sensor and actuator testingDirect injector driver setup and calibrationEngine sensors and actuator setup and calibration

Conducted research on air-to-fuel ratio control, variable valve time effects, engine throttle airflow, injector fuel flow and HCCI.Developed engine AFR models and engine control algorithms using MATLAB and Simulink.Tested and validated engine control strategies using GT Power and dSPACE.