Madison, WI — English / Español
Cruz Romero Morales
Bilingual lived experience meets systems thinking. I build software, research, and tools for the communities usually left out of all three — and I take the long view.
Bilingual lived experience meets systems thinking. I build software, research, and tools for the communities usually left out of all three — and I take the long view.
Software, research products, and open-source infrastructure — shipped end to end, often bilingual, always built to be owned by the people who use it.
A bilingual (EN/ES) tip-income management web app for service and gig workers. Designed and built end to end — product, Cloudflare infrastructure, and partner referral system.
nightshift.cash →My design and technology studio — design, data, custom software, managed IT, and bilingual research for mission-driven organizations running on lean teams.
trespiesdesign.com →An open-source AI developer platform: Agentic Gateway (Go LLM routing + DAG orchestration), Dojo CLI, Kata, Cowork Plugins, and the Design Intelligence Platform.
View on GitHub →An interactive spatial-equity data product — 125 census tracts, 54 schools, 22 data layers. Part of $80M+ approved and $150M+ in LIHTC applications supported.
Ask me about it →A DAG-structured literary microsite — essay, verse, stories, and bilingual poetry, where the navigation itself is the graph. The creative half of how I think.
madeofdoors.com →A Go MCP server that exposes nine core DAG algorithms as tools — topological sort, critical path, frontier detection, cycle validation. Companion to madeofdoors.
View on GitHub →Technical depth, bilingual range, research rigor, and human-centered experience — the same toolkit, applied across very different rooms.
I'm most alive when a technical problem and a human one turn out to be the same problem — when a dataset proves something a neighborhood has known for years, or a piece of software reaches someone who expected to be excluded from it.
The work I care most about takes bilingual, lived experience seriously as methodology — not as decoration.
Build equity-focused technology and research for communities historically underserved by both.
Bridge lived experience and systems thinking — and make the bridge itself legible, replicable, and owned by communities.
Build open-source AI infrastructure with the same rigor as the communities it serves — no extractive black boxes.
Software, research, a data product, bilingual work, or something we haven't thought of yet — I'd love to hear about it.
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