I am a Statistician by training and a Data/ML Engineer by practice. My career is defined by a hybrid approach: I combine the analytical rigor of traditional finance with the technical agility required to build modern, scalable cloud systems.

My work spans the entire data lifecycle, from building the foundational architecture to deploying high-level predictive models. My portfolio is built on three main pillars:

• Financial Engineering: Experience in traditional banking (Bank Sabadell), optimizing complex credit risk models and large-scale financial workflows.
• Web3 & DeFi Infrastructure: As the founder of Orwee, I designed and deployed end-to-end cloud architectures, real-time ETL pipelines, and custom APIs to handle massive on-chain datasets.
• AI & Quant Systems: Development of specialized AI Agents (LangChain) for regulatory compliance and quantitative algorithms for automated liquidity management (ALM) and market simulation.

Whether it's automating 80% of a company's reporting flow or building a terminal that reads millions of data points, my goal is always to reduce complexity through resilient engineering.

• Core: Python (Advanced), SQL, SAS, R.
• Infrastructure: AWS Cloud, ETL/ELT Pipelines, NoSQL, API Design.
• Intelligence: LangChain (AI Agents), Predictive Modeling, Time-series Analysis, Backtesting.
• Analytics: Power BI, Tableau, Advanced Statistical Modeling.

• Bank Sabadell | Data Hub Specialist - Credit Risk & Analytics.
• Orwee Solutions | Founder & Lead Engineer - DeFi Infrastructure.
• ChainTaxFlow & Plutus | Freelance Data Scientist - On-chain Analysis & AI.
• Albeit Capital | DeFi Analyst - Data Automation & BI.

• Master’s Degree in Big Data | Universidad Europea.
• Bachelor’s Degree in Statistics | Universidad Complutense de Madrid.

"Transforming raw data into scalable systems and actionable insights."