Artificial Intelligence Student

Marcelina Niechcial

Honours B.Sc. in Artificial Intelligence. I am mostly interested in AI foundations, deep learning and trading. I am always happy to discuss recent papers or current stock market.

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Education

Radboud University — Honours B.Sc. in AI

Netherlands • 2023–2026

GPA: 8.6/10 (≈4.0/4.0)

Relevant coursework

CalculusLinear AlgebraBayesian Statistics Probability TheoryFrequentist StatisticsConcepts of Programming Languages Deep LearningApplied MathematicsReinforcement Learning

Skills

Programming languages: Python, Java, SQL, JAGS

Frameworks & libraries: PyTorch, Scikit-learn, NLTK, NumPy, Pandas, SciPy, Matplotlib

Developer tools: Git, CoppeliaSim, LaTeX, SLURM, GKE

Leadership

Organizer — AI in Medicine Symposium Treasurer — Formal Committee Student representative — AI Honours Board

Research

Research Intern — AI for Parkinson Lab

Netherlands • 2025

Tuned two neural networks to identify Parkinson’s biomarkers using free-living sensor-based data
Explored semi-supervised learning to improve performance with limited labels; benchmarked vs. traditional classifiers
Ran large-scale experiments on the National Supercomputer of the Netherlands

Experience

Software Engineer Intern — Google

Poland • Jun–Sept 2025

Working on the reliability of Google Kubernetes Engine (GKE)
Improving incident response time by automating impact assesment

European Statistics Competition — 10th in Poland

Poland • 2022

Analyzed demographic data to recommend number of hospitals by region
Solved theoretical problems in statistics and probability theory

Selected Projects

RL in Non-Deterministic Environments

Comparison of different RL methods using OpenAI Gym; focused on complexity trade-offs and sampling efficiency.

Subsumption Robot for Trash Segregation

Implemented subsumption architecture in simulation for partially observabile environments.

Predicting Generosity

Multiple linear regression with forward selection for modeling generosity in cross-country data.

Contact

I am open to research collaborations and internship opportunities. Email: marcelinaniech@gmail.com