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RaulMermans/README.md

Raúl Mermans

I build intelligent systems across AI, data, product, and brand.

I use code to turn complex ideas, fragmented information, and ambiguous workflows into structured products, decision tools, and digital experiences.

My work combines technical execution, business logic, visual judgment, and human-centered system design.


Selected Work

AI-assisted campaign strategy workspace that turns rough briefs into structured strategic routes, risk reviews, and execution-ready plans.

Focus: Applied AI · Campaign strategy · Decision support · Human-in-the-loop workflows


Evidence-bounded website intelligence system that captures public signals, generates deterministic findings, and translates them into structured strategic insights.

Focus: Full-stack product development · Browser automation · AI synthesis · Scoring systems


Marketing intelligence dashboard for analyzing campaign performance, audience pressure, revenue, targets, and segment movement.

Focus: Business intelligence · Marketing analytics · Dashboard design · Decision systems


Other Projects

  • DataBrief AI — Spreadsheet intelligence and grounded business reporting
  • DemandOS — Demand forecasting and inventory-risk intelligence
  • BlogAgent — Evidence-aware editorial workflow system
  • TerritoryOps Spain — Real-estate opportunity and pipeline console
  • Benchmark Dashboard — Competitive benchmarking and scenario forecasting
  • Portfolio — Personal portfolio and case-study system

What I Work Across

AI Products and Workflows

Structured generation, agentic workflows, internal tools, validation systems, automation, and human review.

Intelligence and Decision Systems

Dashboards, forecasting, reporting, campaign analytics, CRM logic, and operational intelligence.

Brand and Product Systems

Positioning, interface design, narrative structure, creative direction, and digital experiences.


Technical Stack

Languages Python · TypeScript · JavaScript

Frontend Next.js · React · Tailwind CSS · Vite

Backend and Data FastAPI · PostgreSQL · Pandas · CSV/XLSX workflows · Machine-learning pipelines

AI and Automation LLM workflows · Structured outputs · Validation gates · Human-in-the-loop systems · Report generation


How I Think

I use code as a way to structure ideas.

The common thread across my work is the ability to connect:

  • Strategy with execution
  • Data with narrative
  • Automation with human judgment
  • Interfaces with decision-making
  • Technology with brand and culture

I am interested in building systems that help people understand, decide, create, and act with greater clarity.


Links


Building across disciplines — where strategy, technology, data, and creativity meet.

Pinned Loading

  1. demand-OS demand-OS Public

    Demand forecasting and inventory-risk system that turns raw commerce data into forecasts, stockout signals, and human-reviewed reorder recommendations.

    Python

  2. BlogAgent BlogAgent Public

    Evidence-aware editorial AI workflow that turns topics into source-grounded draft packages using query contracts, source scoring, candidate validation, claim checks, and copy-readiness gates.

    Python

  3. website-auditor website-auditor Public

    Evidence-bounded website audit workflow with deterministic scoring, public evidence capture, and bounded LLM synthesis.

    TypeScript

  4. campaign-sandbox campaign-sandbox Public

    AI campaign strategy workspace for transforming messy briefs into campaign routes, synthetic audience hypotheses, risk reviews, human-selected plans, and exportable strategy artifacts.

    TypeScript

  5. benchmark_dashboard benchmark_dashboard Public

    Reusable competitive intelligence dashboard framework with benchmark calculations, schema validation, and executive-facing views.

    JavaScript

  6. campaign-pulse campaign-pulse Public

    Marketing intelligence dashboard for analyzing campaign performance, audience pressure, revenue, targets, and segment movement.

    TypeScript