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Adrián Merino Andrés

Adrián Merino Andrés

> AI Specialist & Data Management Consultant @ Open Line

I build secure generative AI systems and well-governed data architectures.

📍 Valencia, Spain · github · linkedin · email

adrian@dev:~$ cat about.md

Versatile AI & Data Engineer and CDMP-certified professional bridging data governance, modern data architectures and production-grade Generative AI systems. Proven track record orchestrating end-to-end data pipelines, developing secure/local LLM and RAG solutions, and managing enterprise metadata catalogs for international clients. I design scalable cloud workflows with Python, Azure, Docker and Streamlit, collaborating daily in international, English-speaking cross-functional teams.

# languages
  • - Spanish — native
  • - English — C1, daily working language
# competencies
Cross-functional teamwork · Agile delivery · Systems thinking · Problem solving · Analytical planning

adrian@dev:~$ git log --all --graph

## work

  1. commit 7692170(HEAD -> main)

    AI Specialist & Data Management Consultant · Open Line

    Oct 2024 → present · Valencia, Spain

    • Enterprise Metadata Management & Governance: Lead the technical deployment, lineage mapping and ongoing management of the OpenMetadata Catalog, onboarding and managing 7 Dutch real estate enterprises in line with enterprise data governance standards.
    • Local & Secure Generative AI: Research and architect local, privacy-compliant AI architectures; develop production-ready RAG pipelines and agentic workflows with LangChain and LangGraph for secure client environments.
    • Data Engineering & Monitoring Platforms: Co-engineer a unified monitoring and data transfer tool with Streamlit, FastAPI and SQLAlchemy that automates data migration from PostgreSQL to Microsoft Fabric, integrated into the firm's Connected Data Cloud.
    • End-to-End Data Pipelines: Design and maintain automated data workflows bridging Data Vault Builder architectures with cloud-native storage, ensuring high availability, observability and auditability.
    • Predictive Modeling & Prototyping: Build ML proofs of concept and interactive client demos with Scikit-Learn, PyTorch and TensorFlow, accelerating stakeholder adoption of advanced analytics.
    • Engineering Standards: Containerize microservices with Docker, set up structured CI/CD pipelines on GitHub and collaborate daily in an international English-speaking engineering team.

## education

  1. commit ba99f03

    Master's Degree in Artificial Intelligence (M.Sc.)

    Universitat de València · Sept 2024 → Jul 2026

  2. commit 53e3f0e

    Bachelor's Degree in Business Intelligence & Analytics (B.Sc.)

    Universitat de València · Sept 2020 → Jul 2024

adrian@dev:~$ cat skills.json

{
"ai_ml": ["LangChain", "LangGraph", "RAG", "Scikit-Learn", "PyTorch", "TensorFlow", "Prompt Engineering", "Local LLMs"],
"data_cloud": ["Microsoft Azure", "Microsoft Fabric", "PostgreSQL", "SQLAlchemy", "Data Vault 2.0", "ETL/ELT"],
"backend": ["Python", "FastAPI", "Streamlit", "REST APIs"],
"devops": ["Docker", "Git/GitHub", "CI/CD", "Power BI", "Linux"],
"data_governance": ["OpenMetadata", "DAMA DMBOK", "Data Governance", "Data Lineage & Quality", "Metadata Management"]
}

adrian@dev:~$ ls -la ~/projects

  • ./TFM

    ★ featured

    This project bridges the gap between field ornithology and cutting-edge AI, combining visual recognition, bioacoustic analysis, and deep document processing to create a comprehensive tool for both experts and enthusiasts.

    Pythonupdated Jun 2026[code]

  • ./Self-Correcting-SQL-Coder

    ★ featured

    This project tries to implement an agent capable of receiving natural language questions, writing and executing SQL queries and if there's an error, it corrects itself until it gets the result. It excels over other projects because the main Python package involved is LangGraph and it shines on iterative processes.

    Pythonupdated Jan 2026[code]

  • ./VirusTotal-N8N-Workflow

    ★ featured

    This project is a streamlined Security Orchestration, Automation, and Response (SOAR) mini-system. It captures suspicious IP addresses via a Webhook, analyzes them in real-time using the VirusTotal API, stores the findings in a Supabase cloud database, and visualizes the threats on a live Streamlit dashboard.

    Pythonupdated Jan 2026[code]

  • ./Hackaton-Econcult

    Proyecto para Econcult donde se desarrolla una app de inteligencia cultural.

    Jupyter Notebookupdated May 2026[code]

  • ./Titanic-Survival-Predictor-API

    This project is an end-to-end Machine Learning application that predicts whether a passenger would have survived the Titanic shipwreck based on demographic and travel data. The system features a decoupled architecture with a FastAPI backend to serve the model and a Streamlit frontend for an interactive user experience.

    Jupyter Notebookupdated Feb 2026[code]

→ see everything on GitHub

adrian@dev:~$ ls ~/awards

  • 1st place Espacios Data & Culture Chair Hackathon

    Universitat de València · Cátedra ESPACIOS · Jun 2026

    💰 €2,000 prize

    # context
    The solution was developed for PITEC (Plan de Impulso Territorial a Equipamientos Culturales), a strategic initiative by the Spanish Ministry of Culture aimed at mapping, analyzing and prioritizing cultural infrastructure across Spain using data-driven insights.
    # solution
    We designed an end-to-end Python ecosystem to analyze, measure and enhance the territorial impact of cultural facilities.
    # goals
    • Understand the territorial distribution of cultural facilities
    • Identify cultural deserts
    • Optimize public investment in culture
    PythonData AnalysisPublic Policy[view code]

adrian@dev:~$ ls ~/certs

  • CDMPAssociate

    Certified Data Management Professional

    DAMA International · Sept 2025 · [verify]

adrian@dev:~$ ./contact.sh

Let's talk! I'm open to collaborating on AI and data projects.

email
adrianmerinoandres@gmail.com
linkedin
linkedin.com/in/ameran
github
github.com/Merino1919
download cv.pdf