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Rethinking
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nablabits/README.md

Hey, It's 𝛁bits 👋

Massive data nerd with an interesting mix of intensity, code and, sometimes, machine learning.

  • 👪 Happy member of the ZeroDeposit family relocating nasty chores done by humans onto machines.
  • 🤖 Delegating the bureaucracy of a decade-long productivity system to Claude, including skills, workflows and fancy mcp servers.
  • 🐌 Trying to be consistent in open source collaborations.
  • 💭 Good bayesian aspirant: the importance of knowing the truth over being right all along.

Something I:

  • 🕵️ Researched: in the agile optimization repository I explored whether it's possible to get the right number of stories for a given sprint if only you know how well you are performing.
  • 📖 Recently learned: How RSA leverages the magic of prime numbers, modular arithmetic and natural asymmetries.
  • Am really proud of: in the grid estimation repository I dove the basics of CUDA programming with an easy algorithm based on the Think Bayes book.
  • Am a huge fan of: productivity and self quantification.

Pinned Loading

  1. agile-optimization agile-optimization Public

    A brief incursion on optimization agile workflows. Come up with an algorithm that maximizes the chances to choose the right amount of stories for a given sprint.

    Jupyter Notebook

  2. cuda-grid-estimation cuda-grid-estimation Public

    A primer on CUDA & c++ when one is familiar with Python's scientific ecosystem (pandas, numpy & scipy)

    C

  3. fareharbor-webhook fareharbor-webhook Public

    A simple Flask server to process Fareharbor webhooks

    Python

  4. huggingface/transformers huggingface/transformers Public

    🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

    Python 162k 33.5k