Kamil Arif is a Senior Specialist Member of Technical Staff at AT&T, where they develop algorithms for L2/L3 Network Topology Planning across the United States. Previously, they worked as a Data Analyst, focusing on creating a comprehensive IP Reallocation/Allocation solution and developing simulated networks for machine learning-based troubleshooting. Kamil's experience includes an internship at CDx Diagnostics®, where they contributed to an image classification workflow, achieving 89.6% accuracy in differentiating cancerous cells from debris. They are currently pursuing a dual Bachelor's degree in Data Science from the New Jersey Institute of Technology and the Albert Dorman Honors College, maintaining a 3.8 GPA.
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