Sadi Kneipp is a software engineer with eight years of experience building AI and data-driven systems, currently focused on enabling training of the largest models on Google’s distributed TPU infrastructure. Previously they contributed to AI Services within Microsoft’s Developer Division and held data science roles at Nubank and Serasa Experian, blending production engineering with applied ML. Trained in molecular sciences and having taken AI coursework at Stanford, Sadi brings a multidisciplinary perspective that helps bridge research-grade algorithms and scalable engineering. Their background in robotics and teaching signals a hands-on, collaborative approach and an ability to explain complex concepts to diverse audiences. Based in Seattle, they combine practical experience across startups, research labs, and hyperscale cloud platforms to deliver performant ML systems.
8 years of coding experience
7 years of employment as a software developer
University of São Paulo
In-person Summer Course, SCI 52: Artificial Intelligence, In-person Summer Course, SCI 52: Artificial Intelligence at Stanford University
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