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ubcrd/README.md

José Road

Technical Product Developer
Full-Stack Web Platforms · SaaS · CRM · Automation · AI-enabled Products

Santo Domingo, Dominican Republic · Building for Latin America and the Caribbean

LinkedIn · GitHub · Instagram · Credly · Email · +1 849 206 0732

This repository is the up-to-date professional profile. joseroad.com is the public site for my ROAD brand/ecosystem, not a personal portfolio, and may not reflect the current state of this repo.


About me

I am a multidisciplinary digital-product professional with more than 10 years of experience across design, digital production, product strategy, automation and technology.

My career evolved from advertising and creative production into building web platforms, SaaS products, CRM systems, operational workflows and AI-enabled applications. I combine product thinking, user experience, data modelling and software implementation to translate complex business needs into practical systems.

I work across the product lifecycle: requirements analysis, system and data design, frontend and backend implementation, third-party integrations, debugging, testing, deployment and technical documentation.

Across freelance and consulting work, I have used process automation and structured production workflows to cut delivery time on recurring digital-production work by roughly 30%, alongside measurable conversion improvements on client digital campaigns.

Languages: Spanish (native) · English (professional working proficiency)

What I build

  • Full-stack web applications and internal platforms
  • SaaS products, portals and role-based systems
  • CRM workflows and operational dashboards
  • REST API, webhook and third-party integrations
  • Authentication, permissions and data-driven experiences
  • Business automation connecting SaaS and custom applications
  • AI-enabled features and AI-assisted development workflows
  • Documentation systems designed for developers and AI agents

Core stack

Frontend

React Next.js TypeScript JavaScript HTML5 CSS3 Tailwind CSS TanStack

Backend, data and integrations

Node.js Supabase PostgreSQL REST API Postman Airtable Resend Cloudflare Workers

Automation and AI-assisted development

n8n Make Lovable Bolt v0 Claude Code

Product delivery and platforms

Git GitHub Vercel Framer Webflow WeWeb WordPress

Creative production and campaigns

Adobe Creative Cloud Meta Ads 3D Virtual Tours

Engineering workflow

Requirements and scope
        ↓
System architecture and data modelling
        ↓
Frontend, backend and integrations
        ↓
Debugging, testing and code review
        ↓
Staging validation
        ↓
Production release, monitoring and documentation

My workflow includes Git-based delivery, development/staging/production separation, authentication and permission testing, error handling, integration alerts, code cleanup, refactoring and structured project documentation.

I use AI development tools to accelerate research and implementation while remaining responsible for architecture, code review, debugging, validation and production readiness.

Documentation-first portfolio

Most production and client repositories are private because they contain proprietary business logic, client assets, operational processes or user data. Instead of exposing code that should remain confidential, this profile documents the work through sanitised case studies covering:

  • Product context and business problem
  • My role and responsibilities
  • User roles and critical workflows
  • System boundaries and architecture
  • Data-model decisions
  • Authentication and permissions
  • Integrations and failure handling
  • Testing, deployment and maintenance
  • Outcomes, limitations and lessons learned

Start with the project portfolio and the documentation system.

Selected systems

ROAD Ecosystem

My own product-and-tooling ecosystem: a No-Code Studio practice, a set of internal Road Lab tools, and the products built on top of them — Propertree, Easy Road, Road Automation Workflows and Site Capture — all governed by the Road OS documentation system below.

Focus: Owned SaaS products · internal tooling · automation infrastructure · documentation-driven delivery

Read the ecosystem case study

Propertree

A mobile-first real-estate portfolio platform for agents and brokers in the Dominican Republic — one public link replacing scattered photos and WhatsApp messages.

Live product: propertreedr.com (pre-beta)
Focus: SSR product architecture · role-based access · lead capture · local-market product decisions

Read the sanitised case study

Easy Road

A membership portal for entrepreneurs and small businesses, built portal-first: resources, discounts, community and progress tracking gated by plan, validated before investing in a public acquisition funnel.

Focus: Tiered access · plan-gated data · phased product delivery

Read the sanitised case study

Consta

A modular health and habit-management product that evolved from the original Glucosa Fácil concept into an independent platform for personalised tracking, routines and health-related tools.

Live product: constaapp.joseroad.com
Focus: Product architecture · modular tracking · user profiles · data workflows · AI-enabled features · production iteration

Read the sanitised case study

PrimerizaRD Digital Ecosystem

A connected ecosystem for first-time mothers that includes the Tribu member platform, the public website, a mobile wrapper/app in development, gala voting, event-registration management and operational tools.

Focus: Community platforms · member workflows · event systems · role-based administration · content and resource delivery

Read the ecosystem case study

Product and operational systems

My private product work also includes The Neuro Space psychological-test engine, UNQR, Road Space OS, Pañal Check, DIVEP Academy and other workflow-driven platforms.

Review the product-systems summary

CMS and client platforms

I have designed and implemented landing pages and websites with custom administration portals and content-management workflows for projects such as La Mafia Positiva, Dra. Berniza, UBC and the José Road personal-brand platform.

Review the platform summary

Road OS Documentation System

An evolving documentation framework for structuring product context, architecture, decisions and implementation instructions so both human collaborators and AI development agents can work with a project more reliably.

Read the documentation-system case study

Professional experience

Several of the roles below run concurrently by design: ROAD is my own ecosystem (not a single employer), Unknown Brand Consulting is my own consultancy, and PrimerizaRD/DIVEP are ongoing operational leadership roles rather than full-time single-employer positions. Together they reflect how I actually work — as a product-and-technology lead across my own ventures and a small number of long-term operational engagements, not as four unrelated concurrent jobs.

  • Founder / Ecosystem Lead / Technical Product Developer — ROAD · Apr 2025–Present
  • Director of Marketing Strategy, Projects and Operations — Fundación PrimerizaRD · Feb 2024–Present
  • Digital Marketing and Product Operations Coordinator — DIVEP S.R.L. · Nov 2023–Present
  • Co-Founder and Product Designer — Unknown Brand Consulting · Sep 2019–Present
  • Senior Graphic Designer — Digo Hispanic Media · May 2022–Sep 2024
  • Independent multidisciplinary professional — José Road · 2013–Present

More context is available in EXPERIENCE.md.

Professional development

My technical training has been built through specialised programmes, independent study and continuous implementation in real projects. Areas of study include no-code development, product design, AI for business, prompt engineering, Airtable data modelling, Framer development, automation and platform strategy.

See CERTIFICATIONS.md.

Working principles

  • Understand the operation before choosing the technology.
  • Model data around real system behaviour and future growth.
  • Make changes traceable, testable and reversible.
  • Treat error states and permissions as product requirements.
  • Document decisions so another person or agent can maintain the system.
  • Use automation and AI to increase capability, not replace judgement.

Building practical systems where product, technology, design and operations meet.

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