Mathematics and Computer Science graduate with a Master's Degree in Artificial Intelligence, focused on applied Machine Learning, Data Science, and Computer Vision.
- Developing a computer vision pipeline for sea turtle face detection and localization based on a Zindi challenge.
- Working on dataset validation, leakage-aware splitting, bounding-box analysis, and robust model evaluation.
- Previously developed a LightGBM-based recommender system for air traffic sector configuration planning at CRIDA/ENAIRE.
- CRIDA / ENAIRE — Developed a machine learning recommender system based on operational air traffic data and confidence-based decision rules.
- Accenture Data & AI — Worked on data analysis, Power BI dashboards, Azure Synapse pipelines, and process automation.
-
Sea Turtle Face Detection
Computer vision pipeline for localizing sea turtle faces using normalized bounding-box annotations, based on a Zindi challenge. -
Satellite Imagery Recognition
Deep learning and transfer learning experiments on high-resolution satellite imagery. -
GenAI Videogame
AI-generated mystery game developed with Python, Ren'Py, and an external LLM API.
Python · SQL · PyTorch · TensorFlow/Keras · OpenCV · Scikit-learn · LightGBM · Pandas · NumPy · Git
Machine Learning · Data Science · Computer Vision · Applied AI
- Email: davidsacp@gmail.com