Summary
Luis Vogado is a PhD-trained data scientist with a decade of experience applying computer vision, deep learning and generative AI to medical imaging and fraud detection. Currently a Senior Data Scientist at Globo, he builds LLM-driven agents and ML systems to detect and prevent fraud in sales journeys, while previously leading data and BI teams at Maida.health to deliver clinical imaging classifiers and production dashboards. His research background includes published work on leukemia diagnosis, facial recognition and corneal lesion segmentation, reflecting strong expertise in image processing and practical model deployment. He also teaches postgraduate courses in Business Intelligence and Data Science, mentoring students on advanced ML, deep learning and time series analysis. A hands-on engineer who bridges academia and industry, he combines algorithmic research with real-world production experience in Python, TensorFlow/PyTorch and SQL.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade Federal do Piauí
Graphic Design, Graphic Design at Gracom Escola de Efeitos Visuais