Gjorgji Strezoski
Software Engineer at University of Amsterdam | New Black
Amsterdam, North Holland, Netherlands
Summary
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SeniorGjorgji Strezoski is an Assistant Professor and seasoned software engineer with a PhD in computer vision and machine learning and over a decade of hands-on experience building production ML systems. He currently splits his time between academia at the University of Amsterdam and leading data and ML strategy at New Black, where he architects ML-ready pipelines and real-time, multi-model recommenders. A serial founder and technical leader, he has built data platforms, medallion architectures, and high-performance inference stacks using tools like Databricks, PyTorch, ggml and vLLM. His research background includes collaborations with the Rijksmuseum and applied work on artistic paintings, bringing a rare blend of cultural-domain vision research and pragmatic engineering. Gjorgji is pragmatic about deployment: he emphasizes onboarding, developer experience, and measurable business impact alongside model innovation. Based in Amsterdam, he enjoys turning early-stage data problems into maintainable, production-grade systems.
10 years of coding experience
Github Skills (12)
api10
ansible-collections10
itil9
material-ui9
javascript8
computer-vision6
infovis6
machine-learning6
html5
flask4
information-visualization4
client-server4
Programming languages (2)
Github contributions (5)
gstrezoski/TaskRouting
Aug 2019 - Dec 2019
(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html
Contributions:6 commits, 4 pushes, 2 comments in 3 months
multitask-learningmultitaskcomputer-visionmachine-learning
gstrezoski/InfoViz_Datasets
Feb 2019 - Mar 2019
Contributions:5 commits, 2 pushes, 1 branch in 27 days
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