Medical student · AI in healthcare · Guatemala
I'm a medical student working at the intersection of clinical medicine and machine learning.
My path hasn't been linear — I found myself segmenting abdominal aortas with U-Net before I fully understood what a gradient was. So now I'm going back to the roots: regression, decision trees, the math underneath everything I've already built.
I care about rigorous thinking, reproducible experiments, and building things that could actually matter in a clinical setting.
Always learning. Sometimes in the wrong order.
- 🫀 CT-based abdominal aorta segmentation with U-Net (research)
- 📐 Rebuilding ML foundations — one dataset at a time
- 📚 NLP on classical literature (Dante + Galileo, because curiosity)
Core
Python PyTorch Git LaTeX Jupyter
Medical imaging
U-Net scikit-image NumPy Matplotlib
ML / data
scikit-learn Pandas
Exploring
NLP spaCy