Summary
Antonio Yepes is a Principal Researcher and Principal Data Scientist based in the San Francisco Bay Area, holding concurrent roles at RMIT University and unstructured.io. He brings nine years of focused experience translating deep learning research into production AI, notably leading document-understanding and explainability efforts at IBM that were productized. His work spans biomedical NLP, ontologies and information extraction—from supporting MetaMap and gene/variant curation pipelines to routing clinical notes—informing robust pipelines for messy, real-world text. He also researched neuromorphic TrueNorth chips and developed a feedforward training algorithm presented at IJCAI, highlighting expertise in low-power and specialized neural implementations. By combining ontology-driven IR with practical explainable deep learning, he excels at turning complex scientific language into scalable, production-ready systems.
10 years of coding experience