About

Akshay Arora is a Manager of Machine Learning Engineering at PCCI, with a passion for healthcare innovation and using advanced technologies, including artificial intelligence, to solve complex healthcare problems. His focus is on building machine learning models and deploying them on the cloud to help physicians make real-time decisions about their patients. With over 6 years of relevant experience, Akshay has a strong background in machine learning engineering. In his current role, he is responsible for managing the machine learning deployment solutions at PCCI. Previously, he worked as a Machine Learning Engineer at PCCI, where he was responsible for deploying machine learning models into production. He also worked as a Data and Applied Scientist at PCCI, where he developed machine learning algorithms for risk stratification and predicting post-acute care outcomes for discharged patients. Additionally, he engineered the data analytics platform for visualizing the real-time social determinants of health outcomes. As a team member, he developed an Azure-based prediction service and deployed a machine learning model using a RESTful API. Akshay's education background includes a Master of Science (M.S.) in Electrical and Electronics Engineering from Southern Methodist University, which he completed in 2017. His technical skills include ML, Research Scientist, and Azure. Overall, Akshay is a highly talented and driven professional with a passion for using machine learning to improve healthcare outcomes. His experience and expertise make him an asset to any team focused on healthcare innovation and technology.