Senior Product Designer for AI and data-heavy products.
I design complex products where trust can’t be assumed. Across GovTech, fintech, and enterprise SaaS, I’ve helped teams turn dense workflows, uncertain data, and AI-powered outputs into interfaces people can inspect, correct, and use with confidence.
Built to work with global teams
Trust is my specialty,
so here's the evidence first:
Led the UX of an AI-powered audit platform — redesigning the workflows behind the writing of audit instructions and reports, in one of the country's most skeptical institutions.
My work on Data Studio and Ask Markerr helped Markerr grow from data provider into product company — a repositioning that ended in its acquisition.
Streaming responses, confidence indicators, partial results, graceful failure states, and a Generative UI system where agents assemble the interface at runtime. All in production.
I’ve spent my career in domains where getting the interface wrong isn’t inconvenient — it’s costly. GovTech, fintech, enterprise SaaS. That taught me to design for people who can’t afford to trust blindly: find where the system breaks down before the interface, and fix it there.
Design has never been a solo act for me. The thinking is the team’s and the ownership is shared — but when something breaks, I carry it until it’s solved.
How I work
Translate complexity into direction
Dense workflows, expert users, data-heavy screens: I start with the system, not the screen. Flows, diagrams, and information architecture that give teams a shared picture — then an interface that makes the complexity feel obvious.
Design the failure states, not just the happy path
Any system fails sometimes; non-deterministic ones guarantee it. The craft lives in what happens then: confidence cues, partial results, override paths, and audit trails — so people can rely on the output without trusting it blindly.
Daniel Canabrava Torres
dnltrs.com
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