About

Arjun Sharma is a highly skilled Machine Learning Engineer with over 6 years of relevant experience in the field. Currently, he is working as a Machine Learning Engineer at DoorDash, where he is responsible for developing and implementing recommendations, ranking, NLP, and reinforcement learning algorithms for the supply and demand team. Prior to joining DoorDash, Arjun worked as a Senior Machine Learning Engineer at OpenTable, where he architected and implemented the backend API for OpenTable's new personalized homescreen for mobile apps. He also explored various reinforcement learning algorithms (Multi Armed Bandits) to rank carousels. Arjun's technical skills include ML, Reinforcement Learning, NLP, Mobile, and Backend. He is a graduate of the University of Illinois, where he obtained a degree in Computer Engineering. During his time at the university, he gained a deep understanding of computer engineering and developed the skills necessary to excel in his career. Before his career in Machine Learning, Arjun worked as a Data Analytics Intern at BlueFlame Energy Finance, where he designed the core Analytics Engine in R to model solar energy savings for commercial and residential systems. He also imputed missing data applying Regression Analysis and Interval Time Series Forecasting techniques using the Autoregressive Integrated Moving Average (ARIMA) model. Arjun is a highly motivated individual who is passionate about using Machine Learning to solve real-world problems. He is always looking for new challenges and opportunities to further develop his skills. With his expertise in Machine Learning and his dedication to his work, he is a valuable asset to any organization.