Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He has advised and taught teams building AI-powered systems, including engineers from Netflix, Meta, and Amazon. He is the host of the industry Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence, and has written for publications such as Harvard Business Review and VentureBeat. As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include Head of Developer Relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively. Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He has also worked with organizations like Data Carpentry to promote data literacy. His impact on data science education is significant, having developed over 30 courses on the DataCamp platform that have reached more than 6 million learners worldwide. Committed to democratizing data skills and access to data science tools, Hugo advocates for open source software both for individuals and enterprises. He also regularly teaches courses and workshops on agentic engineering, AI engineering, and agentic data science.