Rafay Azhar is a highly skilled technology professional with significant experience in software engineering and machine learning. Notable positions include serving as a Software Engineering Intern at NETSOL Technologies Inc. and contributing to the development of Automatic Number Plate Recognition models at Punjab Information Technology Board. Rafay also held roles as a Machine Learning Researcher at both Harvard University and the Kempner Institute, focusing on text classification and sentiment analysis for socio-economic studies. In addition to technical roles, Rafay has experience in tutoring at Harvard's Academic Resource Center and as a Business Analyst Intern at Plan9, where strategic business solutions for tech ventures were developed. Currently, Rafay serves as a Machine Learning Engineer at Meta while pursuing a Master’s degree in Computational Science and Engineering with a perfect GPA at Harvard John A. Paulson School of Engineering and Applied Sciences.
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