Online / 6 & 7 February 2021


Alejandro Saucedo

Photo of Alejandro Saucedo

Alejandro is the Chief Scientist at the Institute for Ethical AI & Machine Learning, where he leads the development of industry standards on machine learning explainability, adversarial robustness and differential privacy. Alejandro is also the Director of Machine Learning Engineering at Seldon Technologies, where he leads large scale projects implementing open source and enterprise infrastructure for Machine Learning Orchestration and Explainability. With over 10 years of software development experience, Alejandro has held technical leadership positions across hyper-growth scale-ups and has delivered multi-national projects with top tier investment banks, magic circle law-firms and global insurance companies. He has a strong track record building cross-functional departments of software engineers from scratch, and leading the delivery of large-scale machine learning systems across the financial, insurance, legal, transport, manufacturing and construction sectors (in Europe, US and Latin America).

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Title Day Room Track Start End
GPU Computing Made Simple with the C++ Vulkan SDK & the C++ Kompute Framework (AMD, Qualcomm, NVIDIA & Friends) Sunday D.hpc HPC, Big Data and Data Science 12:00 12:30
Production Machine Learning Monitoring: Outliers, Drift, Explainers & Statistical Performance Sunday D.monitoring Monitoring and Observability 13:30 14:00
Beyond CUDA: GPU Accelerated Python on Cross-Vendor Graphics Cards with Vulkan Kompute Sunday D.python Python 14:30 15:00