Ayush Shah
Founding Engineer at Stealth Startup
Ann Arbor, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolAyush 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 MichiganBachelor of Technology - BTech Electrical, Bachelor of Technology - BTech Electrical at Veermata Jijabai Technological Institute (VJTI)
Github Skills (44)
visualization10
caffe10
factory10
ide10
visualize10
keras10
visual-question-answering10
chainer9
dialog9
kubernetes9
python9
tensorflow9
computer-vision8
natural-language-processing8
browser8
Programming languages (5)
Github contributions (5)
ayshrv/mobilenet_psp
Dec 2017 - Jan 2018
Contributions:84 commits in 22 days
GT-Vision-Lab/VQA-Website
Jan 2019 - Apr 2021
Visual Question Answering Website
Contributions:169 commits, 16 PRs, 166 pushes in 2 years 3 months
visual-question-answering
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