Work
  • Jan 2025 - Now
    Independent
    Software Development Entrepreneur

    Building and launching my own software products from scratch, handling everything from idea validation to production deployment.

    • Developed a SaaS for board games that teaches players how to play and eliminates the need to read the rulebook — launched with active users.
    • Designed and built the backend with FastAPI, including databases and full AWS deployment (RDS, VPCs, EC2, Load Balancers, CI/CD pipelines).
    • Integrated LLMs with vector databases and RAG workflows using LangChain.
    • Created MVPs, validated market fit, and gathered user insights through interviews and direct feedback loops.
  • Dec 2024 - Now
    Dcycle
    Product Backend Engineer

    Dcycle is a sustainability tech startup that helps companies digitalize and automate their ESG reporting. Part of LinkedIn’s Top 10 most promising startups in Madrid.

    • Designing and developing backend services and APIs with Python and FastAPI.
    • Taking end-to-end ownership of features, from architecture decisions to production deployment.
    • Working closely with product to understand business needs and translate them into reliable, scalable backend solutions.
  • Jan 2024 - Dec 2024
    QUANT AI Lab
    Software Developer

    Full-stack software development role at an AI-focused lab, working across both backend and frontend systems in a hybrid environment in Madrid.

    • Backend development with Python and FastAPI.
    • Frontend work with React, Next.js and Redux.
    • Collaborated in a cross-functional team delivering AI-powered products.
  • Aug 2023 - Jan 2024
    T4S Advance
    AI / Data Engineering Intern

    Six-month internship working on Artificial Intelligence, Machine Learning and Deep Learning projects in a hybrid setup in Madrid.

    • Collaborated in the development of AI, ML and Deep Learning solutions across multiple client projects.
    • Worked with Python, SQL, Docker, TensorFlow, LangChain and Microsoft Azure.
    • Gained hands-on experience applying ML models and data pipelines in real-world contexts.