Ali Shemshadi, Ph.D., is a data scientist with a robust background in software engineering and significant expertise in machine learning, AI, and optimization. They have worked as a Machine Learning Developer at WooliesX and as a Machine Learning Scientist at Complexica, where they focused on developing predictive analytics engines and optimizing them for recommendations. Ali's academic accomplishments include a PhD in Computer Science from the University of Adelaide, along with experience as an Associate Lecturer there. Currently, they serve as a Senior Principal Architect at Oracle and are eager to relocate and learn new technologies.
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