Summary
Gastón Rios is an ML Ops Engineer and machine learning researcher with nine years of experience, currently based in La Plata, Argentina, and nearing defense of a PhD in Computer Science. He blends academic rigor with production-focused MLOps, having developed GAN and autoregressive generative models, few-shot and synthetic-data-augmented sign language classifiers, and PPO-based trading systems. At NaNLABS and previous research roles he has moved models from research prototypes toward deployable pipelines while teaching data mining and deep learning at Universidad Nacional de La Plata. Known for clear communication across technical and non-technical audiences, he pairs analytical problem-solving with hands-on implementation of scalable AI workflows. A detail often overlooked: his work spans both creative generative art models and high-stakes time-series applications, showing versatility across dramatically different ML domains.
9 years of coding experience
5 years of employment as a software developer
English Language and Literature/Letters, English Language and Literature/Letters at English Center
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Facultad de Informática within Universidad Nacional de La Plata
English, Spanish