Project archive mounted Projects // Memory 03

Featured work // Public code // Private vault

Projects & Work

Open source contributions, production systems, and side projects

Repository Archive

A July 2026 snapshot of 33 owned public repositories, followed by one privacy-preserving panel representing 25 qualifying private repositories. Public entries are sorted by most recently pushed.

Check out my GitHub profile for more open source work and experiments.

Visibility

58 represented repositories

  • TypeScript

    libraryofbabel

    An interactive homage to Jorge Luis Borges's The Library of Babel.

  • JavaScript

    strength-coach

    A skill and web interface for turning strength goals, timelines, and equipment into practical coaching recommendations.

  • TypeScript

    just-a-simple-chart-bro

    Simple comparison for when local llms breakeven for cloud

  • Python

    omnissiah

    Home maintenance tracking app with FastAPI, React, PostgreSQL, multi-agent support, and Telegram notifications.

  • Python

    pokemon_portfoilo

    AI-assisted Pokémon card collection manager with card recognition, market pricing, and portfolio tracking.

  • Python

    geostradamus

    Geospatial Time Series

  • Jupyter Notebook

    spatial_mapping

    Explores nearest-neighbor weighting to interpolate low-resolution spatial data.

  • Jupyter Notebook

    smart_shopper

    Scrapes local businesses to surface the best coffee deals.

  • Jupyter Notebook

    butlerbot

    Telegram bot that stores notes and appointments, adds context, and prepares a daily report.

  • Jupyter Notebook

    aoc-2024

    aoc 2024 code

  • Not specified

    ai_researcher

    multi-agent researcher to do multimodal research on companies

  • Not specified

    what_the_bill

    I dont have time to read the bills the house passes, lets have an AI do it.

  • Python

    rocket_sim

    Interactive rocket simulation served as a lightweight local web app.

  • Makefile

    plex_media_server

    Plex Server

  • Not specified

    home_automation

    One repo to rule all of them home things

  • R

    autobsts

    Repo for the autobsts package

  • R

    model-deployment-kubernetes

    Repo contains a working example of container orchestration in kubernetes to utilize seperate containers for pulling data, modelling data, and pushing data out.

  • R

    SIR-model

    System of ODE's for epidemic modelling put into a R-shiny Dashboard

  • R

    chicago-crime-predicitons

    Explores Chicago crime arrest prediction with caret and SparklyR workflows.

  • Dockerfile

    Example-Docker-Repo

    Template Repo for R projects using docker

  • Not specified

    Wow-Gold-Token-Machine

    Containerized model-build template for packaging R workflows for scheduled jobs, APIs, or cloud deployment.

  • R

    Time-Series-Catch-All

    Time Series Package in R to automate forecasting

  • R

    Weightlifting

    Explores logistic models for predicting weightlifting medal outcomes from weight class and country.

  • Not specified

    Death-Penalty

    Looking at the death Penalty

  • R

    BMR

    shiny app to look at bmr and how long it takes for people to lose weight

  • Dockerfile

    deploying-plumber-ibm-cloud

    Showing you how to deploy a plumber api on kubernetes in ibm cloud

  • R

    NLP

    Messing around with Text Analytics in Twitter

  • R

    Wow-Gold

    R project on looking at world of warcraft gold prices

  • Private Vault // 25 Repositories

    • Applied ML and forecasting
    • Automation and productivity tools
    • Consumer applications
    • Data and deployment infrastructure

Technologies & Tools

Agentic AI

Production experience deploying multi-agent systems, RAG pipelines, and conversational AI at enterprise scale

Cloud & Infrastructure

GCP, AWS, Kubernetes, Helm, Docker - building and maintaining production ML systems

Languages

Python, Rust, R, SQL - choosing the right tool for performance, maintainability, and team expertise

Data Engineering

Snowflake, modern data warehouses, building scalable data pipelines for ML systems