David Pettersson

Creative Technologist. Automation Architect. Design that ships itself.

Production proof

3h → 3m
Figma export automationA plugin condensed a repetitive export workflow into minutes, recovering up to six hours of low-value production work per project.
6h / project
Localization layout repairAutomated padding adjustments for translated copy across languages, removing up to six hours of manual layout work per project.
4h → 25m
Unreal Engine build pipelineCut build time by 90% with custom Jenkins pipelines deployed through Unity Cloud.
Projected10–20h / month
Photo-fill hygieneAn automated cleanup routine removes inactive image fills, with a projected monthly saving of 10 to 20 hours.
I turn repetitive design work into automated systems — shipping faster with AI and creative code.

I build Figma plugins, AI skills, agent workflows, and creative-code pipelines that remove manual production work. Teams move faster while art direction stays human.

Design becomes data. Workflows become code. That makes output consistent, scalable, and ready for real production.

Design quality depends on how it is produced, not only how it looks. I build modular systems that adapt across platforms without losing the rules that make a brand recognisable.

AI is a production partner, not a black box. I use structured evaluation to test reliability, expose variance, and improve workflows before they ship.

Design Automation

Building tools that eliminate manual production work and multiply creative output. From Figma plugins to custom CLI tools that generate thousands of assets in seconds.

Generative AI

Building AI skills and agent workflows around LLMs and diffusion models. Developing custom pipelines for image generation, content synthesis, and automated variation.

Creative Systems

Designing the architecture behind complex design frameworks. Design systems that aren't just component libraries, but living ecosystems of code and logic.

Automation Strategy

Consulting on digital transformation for creative departments. Identifying workflow bottlenecks and implementing tailored technical solutions that cut production cost and turnaround time.

Skill Evaluation

Auditing, benchmarking, and optimizing existing AI skills and agent workflows. Using structured evals and variance analysis to deliver measurable performance gains.

Prototyping

Rapidly developing functional proofs of concept for new creative technologies. Testing hypotheses and validating technical feasibility before full-scale production.

Have a production bottleneck worth removing?