Over five years of experience leading teams and managing projects in complex technical and educational environments have cultivated advanced systems engineering capabilities, including requirements analysis, architecture modelling, and lifecycle management. Engagement with diverse stakeholders worldwide has reinforced strategic thinking, problem-solving, and data-driven decision-making in collaborative and fast-paced settings. Applying this interdisciplinary expertise to AI governance can emphasize equitable, sustainable, and safety-focused frameworks, ultimately contributing to responsible innovation and ensuring that AI development aligns with altruistic principles and societal benefit.