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Rafael P.RP

Rafael P.

AI Engineer & Forward Deployed Engineer (FDE)

€400/day
San Pedro del Pinatar, ES
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Rafael

🚀 Making AI demonstrable is easy; making it work in your company's day-to-day operations is another story. I turn 'we should use AI' into reliable systems that take repetitive work off your team's plate, without skyrocketing costs.

🛠️ With over 15 years of experience bringing software to production, I act as a Forward Deployed Engineer (FDE): I dive into the client's infrastructure, translate the business challenge, and go from 'we have an AI idea' to a functioning MVP in weeks.

Most AI projects end up as pretty demos that never get used. My job is the exact opposite: solutions that truly work, scale, and don't break the bank.

How I can help you:

🤖Automate complex processes— AI assistants that don't just converse, but execute: research, generate reports, presentations, spreadsheets, and connect with your tools.

🔍Leverage your information— Systems that accurately answer questions about your internal documentation, without making things up.

🚀Launch fast and smart(FDE model) — From concept to a functional MVP in days, not months, with an architecture designed for growth.

💸Control costs— I design every solution by optimizing AI spend so the return is clear from the start.

Why work with me:

✅ I'm an active developer, not just a consultant: I design it and I build it.
✅ I focus on your ROI, not technology for technology's sake.
✅ Reliable, tested, and easy-to-maintain code for the long term.

👋 Write to me and let's discuss it on a 15-minute call, no commitment.

⚙️ Stack: Python (FastAPI), LangGraph, OpenAI · Anthropic · Gemini, vector databases, Docker.
  • English

    Fluent

  • Spanish

    Native or bilingual

  • Catalan

    Conversational

Remote only
Primarily works remotely

Experience

  • Proyecto confidencial · IA (NDA)
    Senior AI Engineer & Architect (Contractor)
    July 2025 - Today (1 year and 1 month)
    ---🔒 Project under Non-Disclosure Agreement (NDA).

    I lead the design and deployment of generative AI systems in production for high-scale environments, going beyond basic 'prompting' towards multi-agent architectures and complex workflows.

    Key Achievements:

    Multi-Agent Orchestration— orchestrator-worker model with LangGraph and LangChain that coordinates specialist agents to automate long-running business decisions and workflows.

    Autonomous Research Agents— with real-time web search (Tavily), capable of synthesizing information and generating deliverables: presentations (PPTX), Excel reports, and Miro boards.

    Advanced RAG Pipelines— Retrieval-Augmented Generation with pgvector/Pinecone/FAISS, optimizing accuracy with embeddings and re-ranking to eliminate hallucinations in technical documentation.

    Backend and LLM Ops— High-performance asynchronous APIs with FastAPI (streaming) and strict monitoring of token consumption and cost per model, for reliability and cost-effectiveness.
    AI Agents AI Engineer LangGraph Generative AI LLM
  • Port Aventura
    Senior Fullstack Developer
    ENTERTAINMENT AND LEISURE
    July 2023 - May 2025 (1 year and 10 months)
    Tarragona, Spain
    Played a key role in architecting and developing a high-performance custom CMS, specifically designed to handle large-scale content operations. My focus was on bridging the gap between robust backend architecture and seamless editorial workflows.

    Key Contributions:

    • High-Scale Architecture: Engineered a custom, modular CMS infrastructure capable of managing thousands of dynamic assets, ensuring low latency and high availability for global traffic.
    • Performance Optimization: Spearheaded the transition to a Headless architecture, significantly improving content delivery speeds and multi-platform integration capabilities.
    • Workflow Automation: Designed and implemented automated content validation pipelines and SEO optimization tools, reducing manual editorial tasks by 30%.
    • Tech Stack: Leveraged Python (FastAPI), PostgreSQL, and Redis to build a resilient and scalable backend, following strict Clean Architecture and SOLID principles.
    Fullstack JavaScript Typescript Backend Development
  • Full stack developing
    Tech Lead in React & Python Developer
    TECH
    January 2022 - June 2023 (1 year and 4 months)
    Lead the hands-on architecture and technical direction of high-security financial platforms, managing a specialized team of 3 engineers to deliver robust, mission-critical systems.

    Key Technical Achievements:

    *Security-First Architecture: Designed and implemented financial solutions compliant with strict security standards, ensuring end-to-end data encryption and secure transaction processing.

    *Technical Leadership (Hands-on):Managed a high-performing engineering team through the full SDLC, balancing active coding with architectural decision-making and mentorship.

    *Scalable Infrastructure: Engineered modular backend systems using Python/FastAPI and PostgreSQL, optimized for high-concurrency and financial data integrity.

    *Code Quality & Compliance:Implemented rigorous testing frameworks and automated CI/CD pipelines, maintaining >90% code coverage to meet financial audit requirements.
    React.js Python Typescript Tech Lead CI/CD Management

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Education

  • Mastering Generative AI: Agents with RAG and LangChain
    IBM
    2025
    Especialización en creación de agentes de IA inteligentes usando RAG (Retrieval-Augmented Generation) y LangChain. Domino la construcción de chatbots empresariales, sistemas de búsqueda semántica y asistentes virtuales personalizados
  • Python for AI & Development Project
    IBM
    2025
    Proyecto práctico intensivo combinando Python con desarrollo de aplicaciones de inteligencia artificial. Experiencia hands-on en machine learning, procesamiento de datos, APIs de IA y deployment de soluciones escalables en entornos de producción

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