Summary
Jimmy Arias is a doctoral student and software engineer with a decade of experience applying AI, deep learning, and MLOps across finance, neuroengineering, and academic research. He combines hands-on production experience—from machine learning operations at Anheuser‑Busch InBev and software engineering at PayU to web development in academia—with active research roles in neuroengineering and a PhD focus in Neural Computation at Carnegie Mellon. Multilingual and internationally trained (Colombia, South Korea), he brings a strong systems mindset (self-described Linux enthusiast) to interdisciplinary problems at the intersection of neuroscience and scalable ML. Notably, his trajectory spans both industry deployments and clinical neuroengineering research, enabling him to bridge experimental methods with production-ready engineering.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, 4.4/5.0 top 10%, Bachelor of Science - BS, Computer Engineering, 4.4/5.0 top 10% at Universidad Nacional de Colombia
Exchange Program, Computer Engineering, 4.5/4.5, Exchange Program, Computer Engineering, 4.5/4.5 at 서울시립대학교 (University of Seoul)
Doctor of Philosophy - PhD, Neural Computation, Doctor of Philosophy - PhD, Neural Computation at Carnegie Mellon University
Master of Science - MS, Neuro engineering, Master of Science - MS, Neuro engineering at Chonnam National University
English, korean (topik 6급), Spanish