Daniel Rich

Daniel Rich is a seasoned machine learning engineer with extensive experience in developing and deploying advanced models and data science pipelines. Currently at mi|im since January 2020, Daniel has previously held senior roles at Nav Inc., where models for financial predictions were created to aid small businesses, and Convirza, where a scalable Kubernetes cluster was built for machine learning applications. Daniel's technical expertise includes utilizing TensorFlow, natural language processing, and a variety of programming languages and technologies, demonstrated in earlier positions at HireVue, National Instruments, and Brigham Young University. Daniel holds a Master's Degree in Computer Science from the Georgia Institute of Technology and a Bachelor's Degree in Computer Engineering from Brigham Young University.