Summary
Paulo Da Costa is a Senior Engineering Manager and AI Scientist based in Dublin with 10 years of experience building production-scale multimodal AI systems. With a PhD in Machine Learning, he has led cross-functional teams to deliver video, audio and text understanding pipelines—shipping active learning, OOD detection, agentic workflows and vector retrieval for millions of videos. His career spans industry and academia, from research at Eindhoven University of Technology to applied roles at Etsy and Integral Ad Science, where he now drives technical roadmaps and partner alignment. Paulo blends deep research rigour with product-oriented engineering, particularly in video language models and foundational multimodal architectures. He also teaches in higher education, reflecting a commitment to mentoring and translating complex ML concepts into practical systems.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning and Combinatorial Optimisation, Doctor of Philosophy - PhD Machine Learning and Combinatorial Optimisation at Eindhoven University of Technology
Bachelor of Science (BSc) Computational and Applied Mathematics, Bachelor of Science (BSc) Computational and Applied Mathematics at Universidade Estadual de Campinas
Master of Science (MSc) Business Analytics, Master of Science (MSc) Business Analytics at University College Dublin
English, Portuguese, Spanish, German