Graphics and simulation research
A C++ and OpenGL playground for reusable rendering, simulation loops, editor tooling, and environments that can eventually expose clean observation and action interfaces to machine-learning agents.
Simulation first. Agents as first-class users.
Connected work
The lab combines Computer Science foundations, graphics experiments, software architecture, and machine-learning questions while remaining small enough to understand and rebuild.
Project notebook
Repositories and experiments presented with clear status, scope, and technical context.
Reference notes
Short documentation records covering architecture, scope, planning, and engineering standards.
Mission, scope, and how this workspace fits the broader ecosystem.
Design boundaries, components, and technical decisions.
Milestones, pending work, and future directions.
A structured inventory of repositories and experiments.
Conventions for readable repositories, Git workflow, and technical notes.