Eashver Elango is a Software Engineer and Computer Engineering student at the University of Washington with eight years of industry and research experience spanning data science, machine learning, and cloud-native application support. He has moved projects from research to production—building data pipelines and TensorFlow/PyTorch models with a focus on low false-positive rates—and shortened clinical workflows by creating real-time React dashboards on AWS. At Amazon (now on the team after a 2024 internship) he continues to apply scalable engineering practices, while prior roles include building audio classification pipelines for startups and improving accessibility and performance in research web portals. Notably, his work has produced measurable gains such as a 75% page load reduction and a 37% improvement in medical risk prediction versus prior tools, reflecting a blend of rigorous research and pragmatic product delivery.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at University of Washington
High School Diploma - AP Capstone Diploma, High School Diploma - AP Capstone Diploma at Newport Senior High School
Contributions:22 commits, 9 pushes, 1 branch in 9 months
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