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m-levytskyi/README.md

Scientific Machine Learning · Research Software Engineering · MLOps

I'm a research associate at Forschungszentrum Jülich (JCNS), working at the intersection of machine learning, scientific computing, and research infrastructure.

My work focuses on developing probabilistic ML methods for neutron and X-ray reflectometry, evaluating their reliability, and building reproducible workflows for scientific applications.

I hold an M.Sc. in Computer Science from Munich University of Applied Sciences.

Contact

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Tech Stack

Python LaTeX Markdown scikit-learn AWS Matplotlib mlflow Pandas Plotly PyTorch Scipy GitLab CI GitHub Actions Git GitHub GitLab Grafana Docker Kubernetes OpenCV Anaconda Flask SQLite NumPy

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  1. reflectorch-nflows reflectorch-nflows Public

    Python

  2. agent-systems-eval agent-systems-eval Public

    Python

  3. co2-emission-forecast co2-emission-forecast Public

    Python 1