Yang Ding
Lead Technical Consultant On MLOps And Service Automation
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolYang Ding is a Lead Technical Consultant specializing in MLOps, service automation and applied computer vision, bringing over a decade of experience turning research prototypes into production-grade systems. He co-founded MotionCorrect Inc., where he architected CI/CD pipelines, containerized medical imaging and 3D point-cloud workflows, automated costly manual calibrations, and converted Jupyter prototypes into Airflow jobs running at petabyte scale on AWS. With a PhD in Neuroscience and deep roots in neuroimaging, he uniquely bridges clinical research and engineering—contributing open-source tools for DICOM anonymization and medical segmentation while maintaining high-performance deployments. Proficient in Python, C# and Java, he blends full-stack development, DevOps/MLOps and algorithm tuning to solve industry problems from in-vehicle radar to neonatal MRI. Colleagues value his habit of founding collaborative communities (he runs a weekly computer vision meetup) and his practical knack for reducing cloud cost and operational overhead.
10 years of coding experience
10 years of employment as a software developer
Bachelor Medical Sciences, Bachelor Medical Sciences at Western UniversityLondon Central Secondary SchoolDoctor of Philosophy (Ph.D.) Neuroscience, Doctor of Philosophy (Ph.D.) Neuroscience at McGill University
Github Skills (58)
imaging10
database10
mri10
convolutional-neural-networks9
anonymize9
neuroimaging9
data-sharing9
bids9
science9
digital-pathology9
medical-imaging8
microscopy8
python8
axon8
segmentation8
Programming languages (9)
Github contributions (5)
dyt811/PyCharmSettings
Jun 2020 - Mar 2024
Contributions:855 pushes, 1 branch in 3 years 9 months
CNBP/DICOMetrics
Mar 2017 - Jan 2019
Contributions:34 commits, 33 pushes, 2 branches in 1 year 10 months
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