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Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: Arctic Code Vault Contributor

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michaelellis003/README.md

Hi, I'm Michael!

I'm a data scientist with a math and statistics background who likes to build things. My work spans Bayesian methods and causal inference to LLMs, GenAI and AI Agents. I believe good data science requires good software engineering.

Featured Work

  • pypkgkit — CLI tool and template for scaffolding production-ready Python packages (PyPI)
  • LMT — PyTorch implementation of transformer-based language models (GPT) for pretraining and fine-tuning
  • gaussian-process — Bayesian spatial inference with Gaussian processes in R
  • variational-inference — Variational Bayes and CAVI algorithms for approximate inference

Open Source Contributions

Tech Stack

Python JAX NumPyro PyTorch R C++ TypeScript SQL Docker uv

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  1. LMT LMT Public

    PyTorch implementation of transformer-based language models (GPT) for pretraining and fine-tuning

    Jupyter Notebook

  2. variational-inference variational-inference Public

    Variational Bayes and CAVI algorithms from Ormerod & Wand — approximate Bayesian inference examples in R

    R 2

  3. gaussian-process gaussian-process Public

    Full Bayesian inference for Gaussian process spatial models using MCMC in R

    R 1

  4. sequential-monte-carlo-hmm sequential-monte-carlo-hmm Public

    Master's thesis: Sequential Monte Carlo methods for inference in Hidden Markov Models

  5. pypkgkit pypkgkit Public template

    Production-ready Python package template with uv, ruff, pyright, and GitHub Actions CI/CD

    Python

  6. custom-actions-template custom-actions-template Public template

    This repository serves as a template for creating and maintaining custom GitHub Actions. It provides a structured approach to developing reusable actions that can be shared across multiple reposito…