Resume

Quantitative Researcher / Developer Intern

Inargy Investments

Conduct quantitative research on the Iberian intraday electricity market, analyzing order book dynamics, liquidity, execution behavior, and trading opportunities. Build data pipelines to extract, clean, and process large-scale historical market and order book data for research and backtesting. Designed and developed an end-to-end backtesting engine in Rust, including market replay, order matching, and strategy execution. Develop and evaluate systematic intraday trading strategies using historical market data and quantitative analysis.

Double Degree in Computer Engineering and Business Administration

Universidad Carlos III de Madrid

GPA: 8/10. Relevant coursework: Algebra, Discrete Mathematics, Statistics, Calculus, Data Structures and Algorithms, Files and Databases.

Erasmus Exchange in Computer Engineering (graduate-level coursework)

Politecnico di Torino

GPA: 28.19/30. Honors: 30L/30 in Data Science and Database Technology, 30L/30 in IoT.

Community of Madrid Excellence Scholarship

Awarded to top-performing students studying in Madrid (Spain)