You have the ideas.I ship the pipeline.

Brian Bautista is a Creative Technologist and Data Scientist at Trusted Media Brands, based in Mesa, Arizona. He builds production AI pipelines and internal tools on Google Cloud — Eventarc, Cloud Run, BigQuery, dbt — and previously spent thirteen years at GoDaddy, moving from server administration and website security into art direction and creative leadership. That combination is the point: he has run the infrastructure and he has run the creative team.

An AI Creative Strategist decides where AI belongs in a creative organisation's actual workflow, then builds it — as opposed to demoing what AI can do in principle. That is the work: Brian ships pipelines that creative teams run every day, like the magazine cover automation that carries thirteen brands from a dropped PDF to an approved, published cover. He is equally a Creative Technologist, an AI Engineer, and a former Senior Art Director; the title matters less than the fact that he does both halves of the job.

He writes it. The AI builds on this site — the magazine cover pipeline, StockPull, the analytics dashboard, OneLapse, Starrd, the Etsy print pipeline — were designed, built, and deployed by him, several of them end to end as independent products. He has also led at scale, running a team of eight designers plus three outside agencies, so he knows what a creative organisation will and won't adopt.

A prompt is a demo; a pipeline is infrastructure someone else can depend on. The distinction is whether the thing survives contact with a real team — whether it has error handling, an approval step, a cost model, and an owner. Every AI system on this site is running in production with real users, not sitting in a notebook.

It is the half of the job that happens before the pipeline exists: framing the decision, finding where the data really lives, and settling what "better" means as a number. In practice that has meant a CLIP visual-scoring layer that ranks StockPull's image search on embeddings rather than keywords, and replacing Supermetrics with BigQuery and dbt so the numbers live in infrastructure the team owns and can audit. The models earn their place or they do not ship.

Yes. Brian is open to Forward Deployed Engineer, Creative Technologist, AI Engineer, and AI Creative Strategist roles, and to consulting engagements building internal AI tooling. The fastest way to reach him is hello@brianbautista.com.

Google Cloud Platform is the centre of it: Eventarc, Cloud Run, and Cloud Storage for the automation, BigQuery and dbt for the data modelling, and Python in JupyterLab for the analysis and evaluation work. On top of that, Next.js, TypeScript, React, Supabase, and Stripe for the products, and Claude, GPT, CLIP, and a rotating set of image and video models for the AI layer. He has sixteen years in the Adobe stack from the art-direction side of his career.