Machine learning engineer and data scientist with more than ten years of experience, now a lead data scientist at an international IT company. For three years he built an AI platform for surgeons: he collected and structured surgical datasets, wrote annotation guidelines, built more than 50 training pipelines for classification, detection, tracking and segmentation on video, and deployed 16 real-time video inference pipelines. As CTO of a healthcare start-up he led work on an AI platform that helps diagnose autism spectrum disorder in children from video. He spent six years as a biostatistician at a medical academy of postgraduate education, working on clinical research and ultrasound, MRI and CT data, and taught statistics at a university as an associate professor.
Architecture decisions, code review quality and the RFC process; the project's platform, annotation infrastructure and machine learning pipelines.
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