Rustem is a personal research and engineering space focused on cities, infrastructure, and the built environment, approached through systems thinking and applied AI.
This repository serves as a living workspace for developing and documenting ideas, models, and experiments related to how complex urban and infrastructural systems emerge, interact, and evolve, and how they can be engineered more intelligently.
A core part of this work is the ongoing public series Learning from Cities, which explores cities as complex systems and reflects on future directions for urban development, infrastructure, and technology.
- Research notes and essays
- Conceptual system frameworks
- Early experiments and prototypes
- Archived early work and learning projects
This is an evolving space. Structure, content, and focus will adapt as the work progresses.