Programming and data
- Python
- SQL
- NumPy
- Pandas
- SciPy
Postgraduate Course in Artificial Intelligence for Aerospace Engineering
Universidad Politécnica de Madrid · Madrid
Postgraduate training
Feb 2025 /Jun 2025
Alex Quiroga
Aerospace Engineer · Machine Learning & AI
Aerospace engineer with a Master’s degree in Aeronautical Engineering and postgraduate training in Artificial Intelligence. Experience developing and evaluating Machine Learning and Deep Learning models for signal processing, NLP, and computer vision. Development of LLM solutions and backend applications with FastAPI and Flask, including integration and local deployment with Docker.
Education
Feb 2025 /Jun 2025
Sep 2022 /Sep 2025
Master’s Degree in Aeronautical Engineering
Universidad Politécnica de Madrid · Madrid
Aircraft specialization
Sep 2022 /Sep 2025
Sep 2017 /Jul 2023
Bachelor’s Degree in Aerospace Engineering
Universidad Politécnica de Madrid · Madrid
Aerospace Sciences and Technologies
Sep 2017 /Jul 2023
Work Experience
Apr 2025 /Jul 2025
Data Science Intern
Kerox Technology
Researched NLP and LLM approaches to normalize Spanish clinical text to SNOMED CT. Built a concept extraction pipeline with dynamic segmentation, embeddings, Elasticsearch, semantic similarity, and fuzzy matching. Evaluation on public clinical datasets yielded over 70% exact or hierarchically related matches, including parent/child relationships. Developed post-coordination prototypes and synthetic examples.
Apr 2025 /Jul 2025
Oct 2024 /Mar 2025
Master’s Internship – Machine Learning
DMAIA, Universidad Politécnica de Madrid
Developed an ECG processing and feature extraction pipeline using Python, NeuroKit2, SciPy, Pandas, and PhysioNet datasets. Compared traditional ML models and convolutional networks: the best evaluated model, HistGradientBoosting, achieved macro F1 of 0.921 and AUC of 0.991. Built a Flask application for signal visualization, rhythm classification, and reports with SQLite, and experimentally integrated commercial and Arduino-based ECG acquisition.
Oct 2024 /Mar 2025
Mar 2021 /Aug 2021
Undergraduate Internship – AI Research
SRM Consulting
Researched and evaluated Neural Radiance Fields (NeRF) for novel-view synthesis and 3D reconstruction using synthetic, real-world, and aerial images. Built Python tools for image and camera-pose preparation and a PySide6 interface for training experiments. Compared NeRF with traditional photogrammetry and assessed limitations in 3D mesh extraction.
Mar 2021 /Aug 2021
Projects
Twitter/X Insights – AI News Analysis
NLP application to collect posts, estimate relevance and neutrality with zero-shot classification, and group related news using embeddings and HDBSCAN. Generates titles, summaries, and structured reports with LLMs, with ranking and redundancy reduction.
Chess Game Reconstruction
Computer vision system to digitize live chess games from video, detecting pieces and reconstructing successive board positions with YOLOv8, InceptionV3, and OpenCV.
Autonomous Aircraft Control with RL
Custom flight dynamics simulator using linearized equations of motion and fourth-order Runge–Kutta (RK4) numerical integration. A PPO agent follows arbitrary waypoint trajectories in simulation.
Math Solver
Web application for unit conversion, symbolic mathematics, and plotting.
PID Ball Balance Robot
A ball balancing robot with PID control, an infrared distance sensor, and a servo-driven tilting platform.
Skills
Machine Learning
- scikit-learn
- PyTorch
- Keras
- Hugging Face
Classification, Deep Learning, NLP, computer vision, Reinforcement Learning
LLMs and generative AI
- LangChain
- RAG
- embeddings
- semantic retrieval
- vector databases
Backend and tools
- FastAPI
- Flask
- Docker
- Git
- Elasticsearch
- SQLite
- SQLAlchemy
- Pydantic
- React
- OpenCV
Certifications
Data Science
Tools, Methodology and Python
IBM Data Science (5 courses)
Computer Science
C, Python, Flask and SQL
CS50's Introduction to Computer Science
English
Reading and Listening
Cambridge Linguaskill: C1