About Me
Visual AI Artist and 3D Generalist focused on scalable content production, cinematic workflows, and controllable generative AI systems.
I combine traditional 3D thinking with modern AI tools to build structured production pipelines designed for consistency, speed, and creative control — going beyond simple prompting into reproducible visual workflows built for real production environments.
Core Focus
AI-driven production workflows
ComfyUI pipeline development
3D-assisted generative workflows
Scalable visual content production
Cinematic visual direction
Workflow optimization & automation
Consistency across characters, environments, and style
AI refinement, compositing, and post-production
Tools & Technologies
ComfyUI · Blender · Runway · Kling · Photoshop · After Effects · LoRA Training · Image-to-Image Workflows · Generative AI Pipelines
WHY STRUCTURED WORKFLOWS MATTER
Consistency at Scale
Maintain characters, environments, lighting, and visual identity across large amounts of content.
Creative Control
Move beyond random generations with more controllable and reproducible outputs.
Faster Iteration
Reduce production time by combining AI workflows with structured scene setup and refinement.
Production-Ready Pipelines
Designed for real content production environments — not just isolated one-off images.
Test, Iterate, Build
Generative AI becomes significantly more controllable when approached through structured and modular workflows rather than isolated prompting.
Most projects begin with establishing a strong “ground truth” using character sheets, asset references, environment direction, lighting, and composition as a foundation for later iterations.
WORKFLOW APPROACH
Establishing clear visual foundations
Modular and reusable workflow structures
Iterative refinement and testing
Consistency across characters and environments
Structured scene composition and lighting
Production-focused pipeline thinking
Reproducible visual systems
EXPERIENCE
Over the last three years, I’ve worked extensively with generative AI workflows across both small-scale experiments and larger production-focused projects.
This experience shaped a practical understanding of not only the strengths of AI tools, but also their limitations, inconsistencies, and production challenges. I continuously keep track of emerging tools and workflows, while focusing on evaluating them critically before integrating them into real production pipelines rather than blindly following short-term hype.
My approach is centered around structure, iteration, and creative control — treating AI as a production tool that needs to be tested, refined, and integrated thoughtfully to become truly reliable.