Daniel Paleka
Doctoral Candidate
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolDaniel Paleka is a doctoral candidate at ETH Zürich with eight years of software engineering and research experience bridging math-heavy theory and practical systems. He combines deep mathematical pedigree—three IMO Silver medals—with hands-on C++ development and applied ML work using Python, PyTorch, OpenCV and scikit-learn. His research has rapidly impacted the field (400+ citations, h-index 8 in two years) with publications at NeurIPS/ICML/ICLR and a second author spot on an ICML Best Paper Award. Past internships span video compression, camera pose estimation and large-scale data pipelines (Kafka, SQL Server), showing he moves comfortably from low-level systems to neural network research. He has applied expertise in graph learning, optimization and steganography in LLMs, and contributes to pedagogy as a recurring TA for ETH’s Large Language Models course. Based in Zurich, he uniquely pairs competition-honed problem solving with reproducible research and production-focused engineering.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BSc) Mathematics, Bachelor of Science (BSc) Mathematics at University of Zagreb / Sveučilište u ZagrebuDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at ETH Zürich
Stackoverflow
159reputation
4kreached
3answers
5questions
Github Skills (131)
textbook10
markdown10
translation10
robotics9
alarm9
pipeline9
science9
nlp9
python9
pytorch9
algorithms9
machine-learning9
data-structures9
data-structure9
artificial-intelligence9
Programming languages (8)
Github contributions (5)
dpaleka/cross-entropy-for-combinatorics
May 2021 - Jul 2021
Code accompanying the manuscript "Constructions in combinatorics via neural networks and LP solvers".
Contributions:9 commits, 9 pushes, 1 branch in 2 months
deep-learningsolversneural-networkscombinatoricsmanuscript
ethz-spylab/llm_lab
Jun 2023 - Apr 2025
Contributions:3 pushes in 1 year 9 months
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