Rahul Indra is a skilled engineer and researcher with extensive experience in machine learning, software development, and security management. Rahul served as a Research Fellow at Technische Universität Wien, where an evaluation framework for Indoor Localization was developed. As a Machine Learning Researcher at MOSTLY AI, edge prediction problems were addressed using advanced neural network techniques. Rahul founded an e-commerce startup, winning two B-Plan competitions, and held leadership roles at CodeIIEST, overseeing computer security initiatives. During Google Summer of Code 2020 at CERN, an intelligent monitoring system for distributed services was created. Rahul further enhanced infrastructure security at Media.net and contributed to data pipeline management. Currently, Rahul is an engineer at Meta focused on improving Scribe Read Path. Academic credentials include a Bachelor of Technology in Computer Science from the Indian Institute of Engineering Science and Technology (IIEST) and notable secondary education achievements.
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