Machine Learning Engineer at University of Michigan - School of Information
New York, New York, United States
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Summary
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Ayush Shah is a Machine Learning Engineer with 11 years of experience building production ML systems and data pipelines across finance, healthcare, and telecommunications. Currently at Western Union in New York, he deploys predictive models in Snowflake and Dataiku to improve fund management and automate daily forecasting workflows. His background combines hands-on software engineering (Java, SpringBoot, Apache Spark, AWS) with applied data science from internships and roles at Michigan Medicine and academic positions at the University of Michigan. Ayush bridges research and production—having served as a graduate research assistant and instructional aide—so he’s comfortable translating complex algorithms into teachable, production-ready solutions. He has a MS in Big Data Analytics from the University of Michigan and a BTech in ECE, giving him cross-disciplinary fluency in systems, analytics, and domain-driven modeling. Notably, he has reduced operational wait times and financial risk via models deployed across large, real-world datasets, reflecting a practical focus on measurable impact.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Big Data Analytics, Master of Science - MS, Big Data Analytics at University of Michigan
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at Veermata Jijabai Technological Institute (VJTI)
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Ayush Shah - Machine Learning Engineer at University of Michigan - School of Information