I tend to work on a lot of ML projects in my personal time, even if that means I am simply benchmarking something. Which means I generate a lot of data (in form

I tend to work on a lot of ML projects in my personal time, even if that means I am simply benchmarking something. Which means I generate a lot of data (in form of results) and conclusions based on them. Documentation, lavish commenting, proper file organization (also documented), READMEs at different levels are necessary for me to manage such breadth and scope. My memory is fine (unless I don't know what I'm forgetting ;-)), but there's only so much I can pack in for the amount of things I want to do.