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Consolidated career path in orchestrating Generative AI agents, optimizing models through advanced prompt engineering, evaluating LLMs, and developing RAG architectures. Backed by previous experience in the publishing sector, bringing demanding analytical criteria to content structure and language quality. Currently focused on designing advanced conversational systems, mitigating biases in language models, and validating complex data flows within production environments.
Data Analyst Intern Nov 2025 – May 2026
- Data integrity: Developed Python scripts for cleaning and validating operational data from renewable energy assets. Implemented automated time-series checks prior to ingestion into MongoDB to ensure high-fidelity data flows.
- Generative AI: Collaborated directly with the technical lead in defining requirements and conceptual design for GenAI use cases (PoCs), including functional documentation for the proposed solutions.
- Data Standardization: Normalized and unified data from multiple heterogeneous sources (SQL Server, Oracle, PostgreSQL) to facilitate subsequent analysis and ensure data traceability.
Computational Linguist Intern May 2025 – Aug 2025
- LLM Optimization: Designed a recursive prompt engineering workflow backed by a judge agent to align the performance of lightweight models with more robust ones, reducing computational costs without sacrificing output quality.
- Evaluation and Quality: Detected and corrected overfitting issues by identifying outliers in training data and refining model behaviour through controlled prompt iterations.
- Applied NLP: Implemented a hybrid NER system (spaCy + LLMs) to extract structured entities from financial news and built Plotly dashboards for pipeline visualization.
Digital Publishing & Content Production 2020 – 2024
- Digital Content Management: Led the development of multimedia educational materials, ensuring complex data structures (HTML/XML) met product quality standards.
- Metadata Optimization: Managed quality control (QA), indexing, categorization, and metadata management within structured CMS platforms (Alfresco, Blinklearning) to ensure resource traceability.
- Agile Coordination: Managed external collaborators and design teams under agile methodologies (Scrum) and demanding production schedules.
CFTIC Expected July 2026
Universidad Autónoma de Madrid 2024 – 2025
Universidad Complutense de Madrid 2019 - 2020
Universitat de Barcelona 2013 - 2029
- CrewAI
- LangChain
- OpenAI
- RAG systems
- Adavnced Prompt Engineering
- spaCy
- Transformers
- Rasa
- Dialogflow
- Cognigy
- LLM evaluation
- Google Cloud Platform (GCP)
- Vertex AI
- BigQuery
- Cloud Storage
- Dataprep
- ML pipelines deployment
- TensorFlow
- Scikit-learn
- Tokenization
- Lemmatization
- Part-of-speech (POS) tagging
- Word embeddings
- Sintactic/semantic analysis
- NER (Named Entity Recognition)
- Python
- Pandas
- Regex
- MongoDB
- SQL (PostGreSQL, Oracle, SQL Server)
- Sata validation
- Web Scraping (Beutiful Soup)
- REST APIs
- Dialogue flow architecture
- Message lifecycle modelling
- Intent definition and training
- UX writing
- Sensitive data management
- Git (GitHub/GitLab)
- JSON
- XML/XSL
- Jupyter Notebooks
- Plotly
- Agile Methodologies (Scrum)
- Cognigy Academy Mastery Track 1, 2 & 3
- IBM User Experience Design
- IBM Data Fundamentals
- Founderz Responsible AI & Prompt Engineering
- Spanish (Native)
- English (C1)
- Catalan (Professional)
- German (A2)
- French (A2)