¡Hola!👋

I’m a Data Engineer at Edpuzzle, passionate about building scalable data systems and ML infrastructure. I specialize in designing, maintaining, and optimizing AWS-based cloud architectures that power data-intensive applications.

💼 Current Role

At Edpuzzle, I focus on:

• ETL Pipeline Design & Optimization: Building robust data pipelines that handle large-scale data processing
• Data Lakehouse Architecture: Orchestrating our modern data infrastructure combining data lakes and warehouses
• Cloud Infrastructure: Leveraging AWS services (S3, Glue, Redshift, Lambda) for scalable analytics
• Database Integration: Ensuring seamless connectivity and data consistency across multiple systems

🎓 Education

• M.Sc. in Artificial Intelligence — Stockholm University
  • Thesis: Explainability in AI for Ranking Models (collaboration with Spotify)

• B.Sc. in Computer Science (Computing Specialization) — University of Girona

• Research Experience — UC Irvine Institute for Genomics and Bioinformatics
  • Final thesis on Convolutional Neural Networks for genomic analysis

🎯 Research & Technical Interests

My expertise and passion center on:

• Data Systems: Data-intensive applications, distributed computing, and scalable architectures
• Machine Learning Systems: Query processing, optimization, and ML infrastructure
• Database Technologies: Indexing, querying, and performance optimization
• Cloud Computing: AWS ecosystem, infrastructure as code, and serverless architectures

🌱 Beyond Work

When I’m not working with data, you’ll find me:

• 🎭 Cosplaying: Creating Costumes from Animes and Video Games
• 🏃‍♀️ Fitness & Outdoors: Working out, hiking, skiing, swimming
• 🎵 Music & Dance: Playing guitar and dancing bachata
• 🐱 Pet Parent: Spending quality time with my beloved cat Fresa

📬 Let’s Connect

I’m always interested in discussing data engineering, machine learning, and cloud architecture. Feel free to reach out on LinkedIn or check out my work on GitHub!