Summary
Ezequiel Rosso is a Senior Software Engineer specializing in Natural Language Processing with six years of experience bridging full-stack development and applied machine learning. Grounded in an Electronic Engineering degree, he combines strong mathematical and low-level programming foundations with hands-on expertise in React, Spring, Java, and MySQL. Over the past few years he transitioned into ML and AI, building production-oriented projects using TensorFlow, PyTorch, Hugging Face, LangChain, Pinecone and cloud tooling on AWS. His background includes end-to-end ML systems such as RAG-based insurance chatbots, ResNet50 image classification APIs deployed with Docker and Redis, and tabular risk models tuned with LightGBM. Known for curiosity and rapid learning, he thrives in dynamic teams that move prototypes to production and often mixes traditional engineering rigor with state-of-the-art NLP workflows. Based in Córdoba, Argentina, he’s now applying this blend of software engineering and ML to drive NLP initiatives at Avature.
6 years of coding experience
4 years of employment as a software developer
Engineer's degree Electrical and electronic engineering, Engineer's degree Electrical and electronic engineering at Universidad Nacional de Córdoba
Spanish, English