Summary
Mauricio Araneda is a machine learning engineer with a Master's in Computer Science and eight years of experience building end-to-end AI solutions, from data engineering to deployed models. He has designed and optimized ML pipelines across industries—retail forecasting at Walmart, automated video review for education, and HR automation using LLMs—while applying expertise in NLP, CV, and audio deep learning. Comfortable with MLOps and cloud-native tooling (Kubeflow, MLFlow, Vertex AI) and a wide language palette (Python, Scala, Java, C++), he focuses on performance, resource optimization, and reproducible CI/CD-driven workflows. He also teaches and has published peer-reviewed work on audio and clinical NLP, reflecting a blend of research rigor and production-first engineering. Based in Chile, Mauricio often bridges academic and industry needs to deliver practical, measurable AI impact.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Universidad de Chile