Roland Vollgraf
Senior Principal Scientist, Machine Learning & AI at Zalando
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolRoland Vollgraf is a Senior Principal Scientist in Machine Learning and AI based in Berlin with seven years in industry roles and a PhD in unsupervised learning from Technische Universität Berlin. He has led research and applied teams at Zalando—shaping recommendation, sizing, and logistics optimization through deep representation learning, meta-learning and model-based RL—and served as Principal Applied Scientist at Amazon. His background blends statistical signal processing, unsupervised methods, and quantitative risk modeling from an earlier career in finance, giving him a strong footing in both theory and production ML. Roland is comfortable moving ideas from research prototypes into operational systems that influence business steering and customer experience. He often focuses on multivariate time series, generative modelling for fashion entities, and practical deep learning solutions for real-world supply-chain problems. Colleagues would describe him as a research-driven practitioner who pairs academic rigor with product impact.
7 years of coding experience
16 years of employment as a software developer
EOS "Heinrich Hertz"Doctor of Engineering Sciences (PhD) Unsupervised Learning, Doctor of Engineering Sciences (PhD) Unsupervised Learning at Technische Universität Berlin
English, spanish (basics), russian (basics)
Github Skills (45)
convolutional-neural-networks10
mnist10
benchmark9
python9
dropbear9
machine-learning9
gpu9
computer-vision8
deep-learning8
projection7
neural-network7
infection7
numpy7
tensorflow7
thai7
Programming languages (5)
Github contributions (5)
zalandoresearch/VLRNN
Apr 2021 - Dec 2021
Very Long RNN - memory efficient computation of very long sequences in recurrent neural networks
Contributions:47 commits, 3 PRs, 18 pushes in 8 months
computationmemoryrecurrentrnndeep-learning
zalandoresearch/SWARM
May 2019 - Dec 2021
Set-Equivariant Deep Learning Models
Contributions:15 commits, 4 PRs, 8 pushes in 2 years 7 months
mxnetcaffe2deep-learningmachine-learningdistributed-training
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