I'm an Applied AI Engineer specializing in end-to-end machine learning systems for spatiotemporal analysis of urban mobility and infrastructure data. With a background combining architecture and AI, I bring a multidisciplinary perspective to solving complex urban challenges through data-driven solutions.

Currently pursuing dual master's degrees in AI for Advanced Architecture and Strategic Innovation, I build robust ML pipelines that handle real-world sensor data, automate urban infrastructure analysis, and translate complex algorithms into actionable insights.

What sets me apart is my ability to bridge technical AI solutions with real-world constraints, having spent four years as a field architect managing construction projects — systems thinking, stakeholder coordination, and execution discipline that I now apply to engineering scalable ML solutions.