Alex Quiroga
MSc Aerospace Engineer and Data Scientist
Education
Master’s degree in Aeronautical Engineering
ETSIAE, Technical University of Madrid, Madrid (Spain)
Aircraft Specialization
Bachelor’s degree in Aerospace Engineering
ETSIAE, Technical University of Madrid, Madrid (Spain)
Aerospace Sciences and Technologies
Work Experience
Data Science Intern
Kerox Technology
Developed an LLM-based system to normalize medical text into SNOMED terminology, designing NER and Retrieval-Augmented Generation strategies with LangChain, Elasticsearch, embedding similarity, and fuzzy matching to improve mapping accuracy. Built an end-to-end pipeline leveraging vector databases and semantic similarity for complex concept identification, and delivered insights that guided strategic decisions to expand clinical data resources.
Intership
DMAIA UPM
Developed an ECG-based arrhythmia classification system, extracting single-beat and time-range features from raw signals using NeuroKit2, SciPy, and Pandas. Trained and compared Random Forest, KNN, XGBoost, and a Time-CNN (PyTorch) for accurate rhythm classification. Built an Arduino ECG acquisition device validated against a commercial 2-lead system, and integrated the solution as a Flask web app with real-time visualization, classification, and SQLite data storage.
