Abhinav Garg is a seasoned Machine Learning Engineer currently employed at Meta, focusing on the development and scaling of recommendation and ranking systems to enhance user personalization on Facebook. Prior experience includes serving as a Senior Applied Scientist at FLYR, where Abhinav led the creation of AI-powered revenue management systems for the travel industry, employing techniques such as deep time-series forecasting. A previous role as an Applied Scientist Intern at Amazon involved innovating a machine learning and non-linear programming algorithm that improved supply chain efficiency, projected to save $5M annually. Abhinav also contributed to machine learning applications in airline pricing at deepair solutions and developed advanced anomaly detection and predictive maintenance models at Daybreak. Abhinav holds a Master of Science in Industrial Engineering with a focus on Advanced Analytics from the University of Illinois Urbana-Champaign and a Bachelor of Technology in Industrial Engineering from the Indian Institute of Technology, Roorkee.
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