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fancifulcrow/README.md

Hello There!

I’m interested in solving real-world problems through data-driven systems, research and practical design. My work focuses on using machine learning and scientific computing to build tools, systems, and insights that are both functional and meaningful.

Tools & Technologies

Languages
Python • JavaScript

Machine Learning & Data Science
NumPy • Pandas • Matplotlib • Seaborn • Plotly • Scikit-Learn • TensorFlow • PyTorch

Web Development
Node.js • Vue • TailwindCSS • SQL • Flask • FastAPI

Other Tools
Git • VS Code

I’m always exploring new libraries, frameworks, and ways to improve my workflow and expand my technical toolkit.

Interests

  • Applied Machine Learning
    Designing ML systems that tackle real-world challenges, with a focus on practical deployment and reliability.

  • Model Interpretability
    Building models that not only perform well but can be trusted, understood, and explained—especially in high-stakes domains like healthcare or finance.

  • Scientific & Research Computing
    Leveraging computation to explore and answer complex questions, particularly in interdisciplinary research settings.

Pinned Loading

  1. PINN PINN Public

    Implementation of PINNs

    Jupyter Notebook 2

  2. TOTEM-forecasting TOTEM-forecasting Public

    An Implementation of Tokenized Time Series Embedding (TOTEM) for forecasting.

    Python

  3. ChessBot ChessBot Public

    An implementation of a chess engine

    Python

  4. Image-Colorization Image-Colorization Public

    Using U-Net and GAN for image colorization

    Python

  5. LiteGPT LiteGPT Public

    A lite implementation of a GPT

    Python 1

  6. Godot-Radiance-Theme Godot-Radiance-Theme Public

    An editor theme for Godot 4

    1 1