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Achievement: Pull Shark

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  1. fasta2a fasta2a Public

    a Python framework for building and consuming Agent‑to‑Agent (A2A) servers. It draws inspiration from the popular FastMCP project but targets the A2A protocol directly.

    Python

  2. LLMs-from-scratch-experiments LLMs-from-scratch-experiments Public

    A follow along of “Build a Large Language Model (From Scratch)” by Sebastian Raschka, which is explained with an insightful YouTube series “Building LLM from Scratch” by Dr. Raj Dandekar (MIT PhD).

    Jupyter Notebook

  3. ml-foundations ml-foundations Public

    foundational concepts of machine learning explained & applied to multiple industries.

    Jupyter Notebook

  4. rebecca-portfolio rebecca-portfolio Public

    my personal website

    MDX

  5. bullpen-management-simulator bullpen-management-simulator Public

    an end‑to‑end machine‑learning application that recommends the most appropriate reliever to bring into a game given the current game state

    Python

  6. sql-practice sql-practice Public

    Jupyter Notebook