Summary
Danielle Caled is a Data Science Specialist and PhD-trained researcher with a decade of experience building and productionizing machine learning and NLP solutions, currently driving AI initiatives at Swiss Post. She combines deep academic expertise in information retrieval with hands-on software engineering skills, shipping end-to-end systems using Python, TensorFlow/PyTorch, SQL, and AWS, and applying CI/CD and MLOps best practices. Her work spans fraud detection, large-scale document classification (including EuroVoc multi-label models), OCR-enhanced logistics, and LLM-based user tools with practical prompt engineering. She has a proven track record of turning research prototypes into deployed services and of mentoring cross-functional teams to standardize ML project workflows. Based in Lisbon, she brings a curious blend of technical rigor and creative interests—nature and photography—that inform a thoughtful, user-centric approach to AI.
10 years of coding experience
12 years of employment as a software developer
Master of Science (M.Sc.) Systems and Computer Engineering Information Retrieval, Master of Science (M.Sc.) Systems and Computer Engineering Information Retrieval at Universidade Federal do Rio de Janeiro
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at Instituto Superior Técnico
Portuguese, English, French