Pablo Casas is a technical manager and researcher with eight years of professional experience leading video analytics and identity/forensics work at GRADIANT, now heading Video Analytics. He combines a strong academic foundation in telecommunications, signal processing and biomedical engineering with hands-on applied research in facial image/video processing, demographic classification, privacy-preserving techniques and document security. Pablo has progressed from intern and assistant researcher to co-head and technical manager, shipping prototypes and production applications for European research projects such as MAVEN and WITDOM. He is pursuing a path toward a PhD in medical image processing, reflecting an uncommon blend of clinical-focused ambition and practical expertise in machine learning for visual signals. Based in the Greater Vigo area, he brings both leadership and deep technical fluency in signal processing that bridges research and product delivery.
8 years of coding experience
11 years of employment as a software developer
Master Degree in Signal theory and communications, Statistical signal processing and Machine Learning, Master Degree in Signal theory and communications, Statistical signal processing and Machine Learning at University of Vigo
Telecommunications Engineering, Signal processing, Telecommunications Engineering, Signal processing at Universidad de Vigo
Master's degree, Biomedical engineering, Master's degree, Biomedical engineering at Universidad del País Vasco/Euskal Herriko Unibertsitatea
API for the ICU stay time prediction model of the BlueBeds project
Contributions:2 releases, 12 PRs, 12 pushes in 1 day
apipythonpredictiondataminingdata-science
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Pablo Casas - Technical Manager De Video Analytics at Gradiant