Gradient AI
Caitlin Riley began their career in 2014 as a Software Engineer Intern in Test at Snowbound Software. Caitlin then moved on to become an Intern at Ivani LLC in 2015, where they led the continued development of a product invented during their senior capstone project. In 2016, they became a Software Engineer at Ivani LLC, where they played an integral role in building up the Network Presence Sensing codebase by developing algorithms and data visualization tools in Python. In 2018, they joined GradientAI as a Software Engineer, where they focused on delivering measurable results in insurance underwriting and claims operations.
Caitlin Riley received their Bachelor's Degree in Electrical and Computer Engineering from Franklin W. Olin College of Engineering between 2011 and 2015.
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Gradient AI
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Gradient AI was founded in order to address the need for state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) solutions for the trillion-dollar insurance industry. Their software-as-a-service platform uses AI to help commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies.