Arif Khan has extensive experience in the field of computer science and engineering, with a career spanning roles at notable organizations such as Pacific Northwest National Laboratory (PNNL) and Meta. At PNNL, Arif worked as a Scientist from August 2017 to September 2022, focusing on advanced research initiatives. Currently, as a Machine Learning Engineer at Meta since September 2022, Arif has developed a semi-supervised clustering and random forest model for scam detection in WhatsApp businesses and has implemented enhancements to training processes for Meta's Training and Inference Accelerators. Previous roles include System Engineer at GrameenPhone and Quantitative Software Developer at ACI Limited. Arif holds a BS in Computer Science and Engineering from Bangladesh University of Engineering and Technology, a PhD from Purdue University, and a MS from the University of Florida.
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