After spending my first two years of college studying economics, focusing mainly on its statistical subfield of econometrics, I found that I have a deep understanding of the math underlying machine learning. This has inspired me to pursue a career in ML after I receive my Master's degree in Computer Science from Tulane University next spring.
More recently, I've spent time learning TypeScript from scratch, and contributing to the Moiré project, which aims to automate the soil data collection process of FCAT, the Equadorian NGO aiming to reforest a large deforested region of the Tropical Andes.
Wondering why I had to take Discrete Math for 1327 days.