Summary
Marcos De Souza is a seasoned AI/ML researcher and software engineer based in Coimbra, Portugal, with over 14 years bridging science and industry. He is currently a Postdoctoral Researcher at CISUC, developing Vision Transformer Autoencoders and other unsupervised architectures to enable robust, scalable industrial data analysis with low inference times and interpretability. His career spans roles from Senior Machine Learning Research Engineer at Inatel to Data Scientist at CESAR, as well as teaching positions at CESAR School and related institutions. He has led AI/ML initiatives across R&D to production, including platform development for industrial partners and publications on unsupervised learning and exploratory data analysis. Marcos holds a PhD in Machine Learning, an MSc, an MBA, and comes with hands-on software engineering experience ranging from Android development to cloud-based ML platforms. An active open-source and research contributor, he maintains a strong presence on GitHub and Kaggle and is known for turning complex data problems into practical, auditable solutions.
10 years of coding experience