Andinet Enquobahrie
Forward Deployed Engineering Associate Director, AI-Native Software Engineering
Raleigh-Durham-Chapel Hill Area United States
Summary
👤
Senior🎓
Top SchoolAndinet Enquobahrie is an engineering leader with over 20 years of experience turning clinical AI research into production-grade, regulated software for healthcare and life sciences. He began his career building pulmonary nodule detection algorithms at Cornell and has since architected cloud-native ML platforms, GPU-accelerated inference, and RAG/multi-agent systems that prioritize evaluation rigor, observability, and governance. At Kitware he led teams delivering FDA-ready imaging products and contributed to the widely used Insight Toolkit (ITK) with new segmentation filters and test automation. Now as a Forward Deployed Engineering Associate Director, he helps enterprises move AI from experiments into operating models by designing vendor-agnostic abstraction layers, reproducible delivery pipelines, and agent architectures engineered for reliability from day one. Colleagues know him for bridging research ambition and production reality and for reframing workflows around what AI can truly enable rather than retrofitting legacy processes.
20 years of coding experience
27 years of employment as a software developer
BS, Electrical Engineering, BS, Electrical Engineering at Addis Ababa UniversityMBA, Technology Evaluation and Commercialization and New Product Innovation, MBA, Technology Evaluation and Commercialization and New Product Innovation at North Carolina State UniversityPhD, Electrical and Computer Engineering, PhD, Electrical and Computer Engineering at Cornell UniversityMS, Photogrammetry/Computer-Vision, MS, Photogrammetry/Computer-Vision at The Ohio State University
Stackoverflow
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Github Skills (9)
itk10
medical-imaging10
image-segmentation10
c-language10
segmentation10
cprogramming-language10
image-processing10
test-automation10
cmake5
Programming languages (4)
Github contributions (5)
InsightSoftwareConsortium/ITK
Jul 2005 - Sep 2013
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:153 commits in 8 years 3 months
Contributions summary:Andinet contributed to the ITK (Insight Toolkit) repository, primarily focusing on the development of new filters and the implementation of related tests. Their work included the creation of new image processing filters, such as `itkPolylineMaskImageFilter` and `itkPolylineMask2DImageFilter`, indicating a focus on image segmentation and analysis. The user also wrote and added several new test programs to the `Testing/Code` directory, demonstrating a commitment to ensuring the quality and functionality of the newly created filters. Additionally, the user made improvements and revisions to the existing code, and the test programs to enhance code coverage.
pythonitkcomputer-visionopen-sciencescientific
SINTEFMedtek/IGSTK
Sep 2005 - May 2013
Contributions:334 commits in 7 years 9 months
modificationstracking
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