My research interest is focused on the pivotal role of Artificial Intelligence (AI) technologies and infrastructure in transforming business models and shaping competitive strategies. This research delves into how AI, as a disruptive force, is not just a tool for operational efficiency but a catalyst for fundamentally rethinking how businesses operate and compete in a rapidly evolving digital landscape.

I examine how AI-driven insights lead to innovative business models, how organizations can leverage AI to gain a competitive edge, and the implications of AI integration on market dynamics. The goal is to understand the multifaceted impact of AI on business strategy and to provide a framework for organizations to harness its potential effectively and ethically, ensuring sustainable growth and a competitive advantage in the age of digital transformation.

Research engineering often involves a mix of research and practical application; for AI specialized, the role is to develop, implement, and advance domain technologies. Reading research papers, experimenting with new techniques, and handling large sets of data and training models helps me to gain problem-solving skills and collaborate with others. The field of AI is rapidly evolving, so continuous learning and staying updated with the latest trends and technologies is significant.

The ultimate goal is to bridge the gap between the technical potential of AI and the practical realiteis of implementing these technologies in a business context.