Experience:
Personal Projects
AI (Large Language Model[LLM) chatbots) are all the rage. However, data privacy, hallucinations, and response scope are all issues. To be able to experiment with LLMs and other models, I've added an Ollama server to my home lab.
To become more familiar with managed container environments, I decided a hands on approach was best. I discovered that Raspberry Pi computers were powerful enough to manage the task of running Kubernetes. From there I purchased a few required resources and got started.
Using R and Shiny, I have created and continue to work on a dashboard which allows some exploratory analysis of Formula 1 race data. In addition to the dashboard, I set up and manage the Shiny Server which it and all of my shiny projects run on.
This website is a custom built Python flask application utilizing a mongodb database. The flask application serves most pages using templates which are built dynamically using information stored in the database.
