Nripesh Parajuli
Senior Machine Learning Engineer at GE HealthCare
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNripesh 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 SchoolDoctor of Philosophy - PhD Medical Imaging, Doctor of Philosophy - PhD Medical Imaging at Yale UniversityBS Electrical & Computer Engineering, BS Electrical & Computer Engineering at Lafayette College
English, Nepali, Hindi
Stackoverflow
1reputation
0reached
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Github Skills (15)
flask9
keras9
sqlite8
fastapi8
peewee8
optical-flow7
python7
unsupervised-learning6
image-registration6
mysql5
postgresql5
machine-learning4
orm4
asyncio4
deep-learning3
Programming languages (3)
Github contributions (5)
ascourge21/Siamese
Sep 2016 - Aug 2017
A Keras implementation of Siamese neural net
Contributions:25 commits, 16 pushes, 1 branch in 11 months
keras
ascourge21/Classifiers
Mar 2016 - Dec 2017
Contributions:2 PRs, 1 push, 5 branches in 1 year 8 months
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