Valentyn Boreiko
Applied Scientist II Amazon AGI
Tübingen, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolValentyn Boreiko is an applied scientist and ML researcher with nine years of experience bridging rigorous applied mathematics and cutting-edge generative modeling, now working on Amazon AGI. Currently finishing a PhD in machine learning focused on visual counterfactual explanations, he has a strong track record in adversarial robustness, diffusion models, and scaling strategies for foundation models from internships at Amazon and Bosch CAI to research roles across academia and industry. He combines practical engineering—optimizer and distributed training improvements, time-series production models, and full-stack prototype work—with deep research into aligning models with human preferences and distribution-shift robustness. Based in Tübingen, he uniquely blends formal math training and hands-on ML system-building, often exploring how synthetic data and adversarial techniques reveal systematic model failure modes.
9 years of coding experience
4 years of employment as a software developer
Master's degree Applied Mathematics, Master's degree Applied Mathematics at University of ViennaIgor Sikorsky Kyiv Polytechnic Institute
Russian, Ukrainian, English, German
Github Skills (20)
explore10
collections9
audio8
flux8
pytorch7
deep-learning7
github7
diffusion-models6
image-generation5
datasets5
stable-diffusion5
benchmarking5
data-quality4
imagenet4
diffusers4
Programming languages (4)
Github contributions (5)
valentyn1boreiko/Fundus_VCEs
Jun 2022 - Jun 2022
Contributions:17 commits, 1 push in 16 days
valentyn1boreiko/DVCEs
Sep 2022 - Mar 2023
Contributions:49 commits, 1 PR, 43 pushes in 6 months
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