Wojciech Duliński-Machine Learning Intern
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Experience
Machine Learning Intern
Nomagic
- Developed and tested reinforcement learning models.
- Applied Python libraries (PyTorch, NumPy, Pandas, scikit-learn, gym) for data processing and evaluation.
- Worked on model analysis and experiment documentation.
PhD Researcher
University of Warsaw
- Conduct research in category theory and homotopy theory, developing abstract models.
- Present original research at international conferences and seminars.
- Collaborate with researchers across Europe on theoretical and computational topics.
Private Tutor
- Taught mathematics at various levels, including combinatorics and probability.
- Designed problem sets and clear explanations to strengthen analytical thinking.
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Experienced in Education.
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Experienced in Research and Development.
Summary
PhD candidate in Mathematics at the University of Warsaw specializing in category theory and homotopy theory. Strong background in combinatorics, topology, and probability. Experienced in presenting original research and collaborating internationally. Combines rigorous mathematical problem-solving with practical skills in data analysis, programming, and machine learning.
Skills
- Mathematics: Category Theory, Homotopy Theory, Combinatorics, Topology, Probability.
- Programming: Python, Sql, Numpy, Pandas, Scikit-Learn, Pytorch, Matplotlib, Seaborn, Git, Linux (Bash), Gym.
- Other: Data Analysis, Documentation, Collaboration, Teaching.
Languages
Education
ICM, University of Warsaw
MSc in Computational Engineering · Computational Engineering · Warsaw, Poland
University of Warsaw
PhD in Mathematics · Mathematics · Warsaw, Poland
Jagiellonian University
MSc in Mathematics · Mathematics · Kraków, Poland · 4.93
Certifications & licenses
Fundamentals of Accelerated Computing with CUDA Python
NVIDIA Deep Learning Institute
Fundamentals of Deep Learning
NVIDIA Deep Learning Institute
Generative AI with Diffusion Models
NVIDIA Deep Learning Institute
Transformer-Based NLP Applications
NVIDIA Deep Learning Institute
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Experience
Global Experience
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