Nripesh Parajuli is a Senior Machine Learning Engineer with a decade of experience applying deep learning to medical imaging, currently advancing echocardiographic AI at Caption Health / GE HealthCare. He brings end-to-end expertise from PhD research in cardiac motion modeling at Yale to production ML workflows, training and validating models while helping build prototype and production software. Comfortable at the intersection of research and product, he has a track record of turning ultrasound image analysis into clinically relevant metrics and has contributed to work that informed patents and enterprise adoption. Based in Seattle, he is passionate about the socio-political challenges of the U.S. healthcare system and seeks technology-driven solutions that scale in real clinical settings.
10 years of coding experience
12 years of employment as a software developer
A Levels (High School) Physics Chem Math., A Levels (High School) Physics Chem Math. at Budhanilkantha School
Doctor of Philosophy - PhD Medical Imaging, Doctor of Philosophy - PhD Medical Imaging at Yale University
BS Electrical & Computer Engineering, BS Electrical & Computer Engineering at Lafayette College
Contributions:4 PRs, 19 pushes, 6 branches in 3 months
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Nripesh Parajuli - Senior Machine Learning Engineer at GE HealthCare