Johannes Ulén
Computer Vision Software Engineer at Apple
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolJohannes Ulén is a computer vision software engineer with a PhD in applied mathematics and over a decade of experience building production-ready ML systems. He has applied deep learning to medical 3D image segmentation and optimized detection/segmentation models to run on low-end devices as an independent consultant, and now works on advanced vision problems at Apple. His background spans research-grade prototyping in Matlab and C++ to production deployments using Python, PyTorch, TensorFlow and cloud-native tools—bridging academic rigor with pragmatic engineering. Based in Stockholm, he previously helped scale Tradeshift’s CloudScan prediction engine, giving him strong experience in document AI and operational ML. A mathematically minded practitioner, he often focuses on computationally intensive algorithmic improvements that deliver measurable performance gains in constrained environments.
12 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD) Mathematics, Doctor of Philosophy (PhD) Mathematics at The Faculty of Engineering at Lund University
Github Skills (76)
autoprefixer10
crf10
gulp10
estimate10
depth10
connected9
matlab9
anonymize9
python9
labelme9
deep-learning9
pytorch9
machine-learning9
metalsmith9
shortest-path9
Programming languages (6)
Github contributions (5)
johannesu/multi-region
Dec 2013 - Mar 2017
Contributions:13 commits, 3 pushes in 3 years 3 months
johannesu/sherwood-classify-matlab
Dec 2013 - Jun 2017
Contributions:42 commits, 25 pushes, 1 comment in 3 years 6 months
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