- Lead Architect for Autonomy Safety across the entire stack(vehicle level behaviors, capabilities, motion planning, perception, mapping, etc), setting the vision, training engineers and developing the safety case. This includes a state of the art scenario coverage process to argue requirements sufficiency as well as Verification coverage sufficiency. This effort is executed through dotted line reports to free up time for training/coaching, and deep arch work.- Lead for overall process architecture spanning QM, 26262, 21434, 21448, 4600 etc standards to setup processes driven by the safety/security case, best practices, and systems theory principles. Put in this role to drive efficiency.

-After architecting the approach, Lead Architect for intended function safety driven architecture from Autonomy Features, behavioral competencies, allocation to function/sw/modules, and function/sw/modules analysis leading to functional improvement/design pattern requirements. Cascading vision, mentoring, and managing an execution lead for this effort.-After architecting the approach, Lead Architect for V&V Strategy for Vehicle Level Behaviors, Motion Planning, and Prediction. Cascading vision, mentoring, and managing execution leads for these efforts.-After architecting the approach, Lead Architect for company wide AV Behaviors effort which derives Autonomy capability needs. Cascading vision, mentoring, and managing an execution lead for this effort.-After architecting the approach, Lead Architect for fleet feedback loop into systems requirements and tracking of functional improvements. Cascading vision, mentoring, and managing an execution lead for this effort- Lead interface for Autonomy Safety with multiple OEMs, gaining alignment using a hybrid pragmatic approach of combining standard best practice requirements engineering, hazard analysis, and novel approaches.-Guided and mentored engineers through the chaos that is a startup by developing working mental models and task management tools.-Remain deeply hands on in perception, motion planning, and prediction.

Technically guiding, coaching, and managing a sizeable team for safety guided design of vehicle behavior, the technical implementation that supports safe behaviors, and the V&V strategy while balancing other quality and technical attributes.

-2nd safety engineer(1st SOTIF) hired at Argo AI, tasked with championing Autonomy Safety utilizing state of the art systems thinking approaches to solve limitations in best practices of the past.-Conducted the first functional safety analyses.-Conducted SOTIF/FuSa analyses in one analysis driving process and autonomy stack fundamental changes.-Convinced the organization of the need for ontologies that are consistent across the company.-Convinced the organization to change the approach to safety engineering analysis and requirements to align more with systems thinking.-Supported the development and release of the VSSA to NHTSA.-Started a company metrics effort to evaluate av safety at scale.-Started a company wide program to organize road rules, social norms, ambiguities, as it relates to an ADS maneuver options.

Lead for the SOTIF analysis of Autonomous Vehicles focusing on Planning, Perception, and Localization of the AV. Trained and then guided a team to carry about the analysis across the entire stackWorking with a crossfunctional leadership team to develop the methods, tools, and processes for the future of Simulation and Exposure methods.Lead for integrating the advanced SOTIF analysis methods into the model based systems engineering pipeline.Supported the development and release of the GM/Cruise VSSA sent to NHTSA

2nd SOTIF Engineer at the whole of General Motors(before the first iso/pas was released in 19.Focus was on modeling machine learning systems to analyze their safety and derive requirements to ensure the safety of increasingly complex driverless technology.Involved in the data warehouse and data analysis pipeline for verification of Autonomous Vehicle Systems to ensure requirements are met.Part of investigation team on naturalistic driving research studies.Autonomous HIL simulation edge case development.

Developed and integrated MATLAB/Simulink models for dSPACE based Hardware-in-the-loop benches used for validation of ADAS features such as V2X and Lane Centering Control.Integrated multiple entire vehicle platform ECU’s at HIL level, dealing with constant software updates, hardware updates, and the complexity of many engineers using the benches.Instituted new processes to increase ease of knowledge share and bench maintenance.

I was hand selected by the managing Director of Development/Validation to lead a software team responsible for developing software tools to drive efficiency in the organization. Team followed the evolutionary prototyping paradigm of software engineering due to the discovery nature of the projects. Majority of tools were developed within the .NET framework. Generated man hour savings in the multiple of millions by pushing for large changes for 20+ managers and 400+ Engineers. Received several recognition awards for effort.

One of the first test engineers on ADA features at GM. Work on functional safety fault injection before there was a systems or functional safety team. Developed functional and safety requirements.Development and Validation of Active Safety autonomous braking and acceleration features for General Motors.Developed math models in MATLAB/SIMULINK for physics based threshold of system actuation.Developed Test Procedures from component, subsystem, and functional technical specifications.Developed extensive automation test scripts in VBA, Python, and C programming languages.Utilization of various Controller Area Networking bus analysis tools.Developed models/scripts for functional safety fault insertion in vehicle and at bench level.

GM Engineer Stationed in SF at cruise automation.Systems Engineering. Safety Engineering. Autonomous Vehicles.

Worked on a team developing the UCONNECT infotainment system.Developed a CAN gateway for a mule test property.Developed a modular infotainment test bench concept.

Served as a McNair Scholar during the summer conducting original research on ad-hoc networks namely V2V technology. Formulated a passenger safety restraint notification via tiny os and zigbee. 2nd runner up in research poster competition.