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Gdahuks/README.md

Hubert Książek

LinkedIn GitHub

R&D Team Leader @ Dataedo · Mathematician · Data Scientist

This GitHub profile is mostly for side projects, experiments and study archives — the day job lives on GitLab.

About

I run R&D at Dataedo. My background is math; I drifted into data, then into management. I write less code than I used to and spend more time deciding what shouldn't get built.

Where I have real depth: data architecture (batch, mostly) and SQL. Beyond that I've moved through a lot of stacks — none as deeply, but enough to be useful in most rooms.

🛠️ Core stack

Databases & SQL — query optimization, indexing, batch data pipelines

SQL Server PostgreSQL Snowflake BigQuery

Data & ML in Python — scientific computing, ML prototyping, data exploration

Python NumPy Pandas Polars scikit-learn PyTorch FastAPI LangChain

.NET — algorithmic and computational work, with a soft spot for parallel programming

C# .NET

Language tooling — work on a multi-dialect SQL parser

ANTLR

Tooling & Infra — day-to-day developer setup

Docker Linux Git GitLab CI/CD pre-commit

🌱 Currently exploring

I like digging into how a language actually works under the hood — lately I'm pulling toward lower-level territory.

Rust · Go · C · Assembly

📚 Also worked with

TensorFlow · XGBoost · OpenCV · SciPy · SymPy · Statsmodels · Matplotlib · Seaborn · Plotly · Streamlit · BeautifulSoup · LangSmith · SageMath · Anaconda · LINQ · WinForms · DevExpress · MySQL · SQLite · JDBC · ODBC · ADO.NET · REST APIs · DBeaver · Postman · R (dplyr · ggplot2 · tidyr · emmeans · caret) · LaTeX · Overleaf

Pinned Loading

  1. Image_contrast_enhancement Image_contrast_enhancement Public

    ImageContrastEnhancement is a demonstration of the capabilities of convolutional genetic algorithms in image processing, specifically in the area of contrast enhancement.

    Jupyter Notebook 1

  2. Road_Detection_via_U-NET Road_Detection_via_U-NET Public

    Automatic Road Detection via U-NET Neural Network. The project focuses primarily on implementing the U-NET architecture so that it can be easily modified by changing individual parameters.

    Python 2

  3. pre-commit pre-commit Public

    Prezentacja zastosowania narzędzi do statycznej analizy kodu wraz z ich automatyzacją przy pomocy pre-commit, oraz pipeline. Prezentacja przygotowana na potrzeby przedmiotu "Programowanie zorientow…

    Python 2

  4. housing_price_prediction housing_price_prediction Public

    House pricing prediction ML pipeline. Scrapes data, stores in Azure, uses ML models, and provides API. Built with Python, FastAPI, Azure, and Docker for seamless deployment and scalability.

    Python

  5. Calculates the stationary state for ... Calculates the stationary state for the given transition matrix by solving an eigenproblem.
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    import numpy as np
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    import scipy
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    def calculate_stationary_state(transition_matrix: np.ndarray) -> np.ndarray:
  6. Calculates the transition matrix fro... Calculates the transition matrix from a given 1D numpy array.
    1
    import numpy as np
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    def get_valid_indices(series: np.ndarray) -> (np.ndarray, np.ndarray):
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        """