David Bericat
VP Of Product & Partnerships at Project MONAI
Raleigh, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolDavid Bericat is a seasoned technology and product leader with nearly two decades incubating emerging technologies, partnerships and markets and a decade of focused experience in AI, edge and healthcare platforms. Currently VP of Product & Partnerships at Newton's Tree and co-chair of MONAI Deploy & Stream working groups, he bridges open-source medical AI frameworks and enterprise deployment at scale. Formerly leading Imaging AI Platforms and cloud healthcare alliances at NVIDIA and heading AI/Edge strategy at Red Hat, he combines deep systems architecture with GTM and ecosystem enablement. He has a track record of turning research-grade models into production-ready, GPU-accelerated solutions that address clinical priorities and lifecycle continuous learning. Based in Raleigh, NC, he pairs hands-on technical depth—from DICOM and PACS integrations to hybrid multi-cloud orchestration—with leadership in cross-institutional collaborations spanning top hospitals and research centers. An unusual strength is his ability to translate complex open-source standards into practical MAPs and deployment patterns that operational teams can adopt quickly.
11 years of coding experience
15 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Universidad de ZaragozaFoundation for Effective Leadership Leadership Coaching Personal Growth, Foundation for Effective Leadership Leadership Coaching Personal Growth at NextGen Center
English, Catalan, Spanish
Github Skills (40)
pytorch10
python10
image-processing10
imaging10
ai10
radiology10
medical-imaging10
dicom10
medical-image-processing9
testing9
machine-learning9
watson9
inference9
pipeline9
mlops9
Programming languages (5)
Github contributions (5)
dbericat/jboss-fuse-orionContextBrokerNGSI10
Aug 2015 - Nov 2015
Contributions:11 pushes, 1 branch in 3 months
Project-MONAI/monai-deploy
Sep 2021 - Nov 2022
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
Contributions:16 reviews, 38 commits, 23 PRs in 1 year 3 months
aitestingmonaimedical-imaginginference
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