Abhijeet Parida

Washington, District of Columbia, United States
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Summary

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Senior
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Top School
Abhijeet Parida is an R&D DevOps Engineer with nine years of experience applying deep learning and systems engineering to medical imaging and pediatric healthcare research. Based at Children's National Hospital and the Pediatric Accelerated Intelligence Lab, he builds and deploys AI pipelines for MRI harmonization, brain tumor segmentation, federated learning, and foundation-model research. With an MS from TUM in Computational Science and Engineering and a mechanical engineering background, he combines rigorous modeling instincts with practical deployment skills honed at deepc, where he shipped open-source tools like brainseg and nekton. His PhD work in electronic systems engineering and continued interest in few-shot/meta-learning fuel data-efficient approaches to clinical problems. Known for making AI accessible through web apps, hackathons, and teaching, he bridges research, production, and community impact in healthcare AI.
code9 years of coding experience
job4 years of employment as a software developer
bookBachelor of Technology (BTech), Mechanical Engineering, Bachelor of Technology (BTech), Mechanical Engineering at Amrita Vishwa Vidyapeetham
bookMaster of Science (MS), Computational Science and Engineering, Master of Science (MS), Computational Science and Engineering at Technical University of Munich
bookPCMB, PCMB at Navy Children School, Goa
bookDoctor of Philosophy - PhD, Electronic Systems Engineering, Doctor of Philosophy - PhD, Electronic Systems Engineering at Universidad Politécnica de Madrid
languagesOdia, Hindi, English, German
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Github Skills (124)

python10
image-processing10
ui-components10
gradio-interface10
deep-learning10
medical-image-analysis10
excel10
medical10
javascript-api10
jquery10
scikit10
statistics10
computer-vision10
transfer-learning10
data-science10

Programming languages (7)

JuliaC++SWIGJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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a-parida12/pdf2dcm

Jan 2022 - Oct 2022

Python Package for PDF to DICOM Conversion
Contributions:10 releases, 1 review, 51 commits in 8 months
pythonpdfdicompydicompdf2dcm
Contributions:27 pushes, 1 branch in 7 years 2 months
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