Service Overview
I develop procedural asset systems that generate and modify content through rule-based workflows rather than fixed manual construction. This approach enables scalability, consistency, and rapid iteration across real-time and offline production environments.
Procedural Thinking in Production
Procedural asset development shifts production from static creation to system-driven generation.
Instead of building every asset individually, I design systems that define how assets are formed — allowing geometry, structure, variation, and behavior to emerge from controllable rules. This makes assets easier to iterate, adapt, and reuse across projects.
Node-Based & Rule-Driven Workflows
I work extensively with node-based and rule-driven systems such as Houdini, Blender Geometry Nodes, and engine-side procedural frameworks.
These systems allow assets to remain fully non-destructive, enabling changes at any stage of production without rebuilding from scratch. Parameters can be exposed for art direction, technical control, or automated pipelines.
Procedural Assets in Real-Time Engines
Procedural techniques extend naturally into real-time engines through visual scripting, custom tools, and engine-integrated systems.
I build procedural assets and generators that function inside real-time environments — supporting variation, optimization, and runtime flexibility while respecting performance constraints.
Scalable & Non-Destructive Production
A core advantage of procedural asset development is scalability.
Procedural systems allow a single asset definition to produce many variations, adapt to different contexts, and evolve over time. This reduces manual labor, improves consistency, and enables large-scale production without sacrificing creative control.
Integration with Art & Engineering
My procedural workflows are informed by both artistic intent and engineering discipline.
Systems are designed to remain readable, controllable, and production-safe — supporting collaboration between artists, designers, and technical workflows while remaining robust under real production demands.
