Ozan Sener

Munich, Bavaria, Germany
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Summary

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Rockstar
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Ozan Sener is a machine learning researcher and engineer with 16 years of experience designing sample-efficient algorithms for large-scale systems at the intersection of theory and applied research. His work spans domain generalization, multi-task and meta-learning, and active learning, with roles from PhD research at Cornell and visiting work at Stanford to postdoctoral and research scientist positions at Intel Labs. Based in Munich, he combines rigorous theoretical grounding with practical system-building, often translating theoretical insights into production-relevant methods. He has a strong signal-processing and AI background (BS/MS from METU, PhD from Cornell) and a track record of tackling transfer-learning problems that improve real-world robustness across tasks. An avid researcher, he maintains an up-to-date portfolio of publications and projects at ozansener.net that reveal a consistent focus on scalable, principled ML solutions.
code15 years of coding experience
job11 years of employment as a software developer
bookBS, Electrical and Electronics Engineering, BS, Electrical and Electronics Engineering at Middle East Technical University
bookDoctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Cornell University
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Stackoverflow

Stats
106reputation
1kreached
3answers
0questions
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Github Skills (51)

meta-learning10
multi-task-learning10
multi-objective-optimization10
incremental-learning9
optimization9
machine-learning8
pytorch8
monitoring7
deep-learning7
react7
database7
rust6
pathfinding6
data-mining6
opencv6

Programming languages (4)

C++RustPHPPython

Github contributions (5)

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ozansener/RecipeWatch

Sep 2014 - Jan 2016

Contributions:52 commits, 1 push in 1 year 3 months
ozansener/GMM-with-Eigen

Jul 2011 - Jan 2013

Contributions:3 commits in 1 year 6 months
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Ozan Sener