Daniel Paleka
Doctoral Candidate
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolDaniel Paleka is a doctoral candidate in computer science at ETH Zürich, blending a rigorous mathematics foundation from the University of Zagreb with cutting-edge ML research. With eight years of experience and internships at Microsoft, Photomath, stYpe, and Disney Research, he has shipped systems involving graph analysis, camera pose estimation, and data pipelines using Kafka and Kubernetes. His research track includes multiple appearances at NeurIPS, ICML, ICLR, TMLR, SaTML, IEEE S&P, a ICML Best Paper Award (as second author), and leadership as Area Chair for SoLaR and teaching assistant for the Large Language Models course. He is proficient in C++ and Python, with applied experience in PyTorch, OpenCV, scikit-learn, Linux, Kubernetes, and Kafka, focusing on neural networks, graph learning, optimization, and math-heavy data science. Based in Zurich, Switzerland, he has engaged with OpenAI researchers on steganography in LLMs, bridging theoretical insights with scalable ML systems.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at ETH ZürichBachelor of Science (BSc), Mathematics, 4.8/5.0, Bachelor of Science (BSc), Mathematics, 4.8/5.0 at University of Zagreb/Sveuciliste u Zagrebu
Stackoverflow
159reputation
4kreached
3answers
5questions
Github Skills (140)
textbook10
markdown10
translation10
robotics9
alarm9
pipeline9
science9
nlp9
python9
notebooks9
pytorch9
algorithms9
machine-learning9
data-structures9
data-structure9
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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