About Me

Hello! I am a Systems and Functional Safety Engineer specializing in Advanced Driver Assistance Systems (ADAS) and Automated Driving systems, with a strong focus on building safe architectures for complex, ML-enabled vehicle platforms.

My work sits at the intersection of systems engineering, safety engineering, and autonomous system development. I focus on how modern safety standards—ISO 26262 (Functional Safety), ISO 21448 (SOTIF), and ISO/PAS 8800 (AI safety for road vehicles)—can be applied together to ensure safe operation of increasingly complex vehicle systems that combine deterministic software with machine learning components.

With over a decade of experience in the automotive and autonomous driving industry, I have contributed to the full safety and system development lifecycle, including hazard analysis, safety architecture design, requirements definition, verification & validation, and safety mechanism implementation. My experience spans simulation and testing environments such as MiL, SiL, and HiL, as well as large-scale automated test development used to validate safety-critical vehicle software.

A key focus of my work is system-level safety architecture. I specialize in identifying how faults, functional insufficiencies, and AI-related risks propagate through autonomous driving systems, and in designing architectures that can detect, monitor, and mitigate those risks through robust safety mechanisms and runtime monitoring frameworks.

Beyond the technical work itself, I have extensive experience collaborating across disciplines and organizations. I regularly work with software engineers, perception and ML teams, platform engineers, safety engineers, and validation teams to translate complex safety concepts into practical system requirements and engineering solutions. My strength lies in bridging the gap between high-level safety concepts and the detailed implementation required to make them work in real vehicle platforms.

Throughout my career, I have also led technical delivery for complex projects involving cross-functional teams and distributed engineering organizations, helping align system architecture, safety requirements, and validation strategies to ensure successful program execution.

I am particularly interested in advancing the safe deployment of machine learning in safety-critical vehicle systems, and in developing practical engineering frameworks that enable ML-enabled architectures to meet the rigorous safety expectations of the automotive industry.

Outside of engineering, I enjoy volunteering, spending time outdoors, and being with friends and family—activities that keep me energized and grounded.

Feel free to explore my portfolio to learn more about my work and perspectives on safety engineering for autonomous systems.