Viktor Sanca is a Senior Member of Technical Staff at Oracle, working within the Vector Flow Analytic team in the Data and In-Memory Technologies group. Sanca's expertise lies in designing and optimizing data and systems infrastructure for both AI and traditional database workloads. They earned a PhD from the Data-Intensive Applications and Systems (DIAS) lab at EPFL, Switzerland, focusing on Efficient Approximate Analytics via Adaptive Context-Conscious Query Processing. Prior to their role at Oracle, Sanca contributed as a Doctoral Researcher and served in various teaching and leadership capacities in academic settings.
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