As AI makes tacit knowledge explicit, consultants face a new question: what belongs to the client, what belongs to the company, and what belongs to you?

Hey there, I'm
Iván
Trujillo
16+ years of front-end & AI engineering
I'm Iván, a software consultant and tech lead with 16+ years of experience crafting modern web applications. I specialize in front-end architecture, generative UI, and AI-powered interfaces — and in building high-performing engineering teams. From concept to delivery, I obsess over quality, performance, and developer experience.
More about meMy expertise in numbers
- 16+
- Years crafting software for clients around the world.
- 9
- International clients delivered for, across finance, pharma and telecom.
- 3
- Core industries served end-to-end, from architecture to delivery.
- 100%
- Remote — collaborating with distributed teams worldwide.
I help companies build ambitious products at the intersection of front-end engineering and artificial intelligence. Here's where I focus my energy.
AI & Generative UI
Building AI-powered interfaces and generative UI systems that turn structured data into dynamic, context-aware components that are generated dynamically based on the user's interaction.
Front-End Architecture
Designing scalable TypeScript monorepos, component libraries, and design systems that help teams ship fast without sacrificing quality. Robust and scalable architecture that is easy to maintain and scale.
Engineering Leadership
Leading cross-functional teams with a focus on developer experience, TDD culture, code review practices, and continuous delivery. Building high-performing engineering teams that are able to ship high-quality code quickly and efficiently.
Design Systems
Creating cohesive component catalogs, style guides, and design tokens that ensure visual consistency across products. Ensuring that the design system is easy to use and maintain.
AX Experience
Designing for Agentic Experience (AX) — apps that AI agents love to use. I structure interfaces, semantics, and actions so agents can reliably do what users ask, the way good UX serves people.
Developer Tooling
Crafting custom AI-assisted workflows, automated code review pipelines, and tools that multiply team productivity. Tools that help teams ship high-quality code quickly and efficiently.
Agentic systems don't fail because of the model — they fail because nobody designed the coordination. Good leadership principles apply to AI agents too.
In any organization, everyone knows who delivers results and who just makes noise. The question is what happens when the ones who deliver stop trying.
Traditional companies keep operating with obsolete work models. They evaluate employees by what they know instead of what they can produce with the tools they master.
Let's work together