The Carnegie Mellon Data Science Club (DSC) partnered with the CMU Poker Club to host the inaugural Poker AI @ CMU hackathon.
In this 24-hour hackathon, more than 60 teams of 2-5 designed a poker-bot to face off against competitors' bots.
I worked on the dev team as a Cloud dev, running containers on GCP and using kubectl
to manage and monitor container state.
When designing the competition, one of our goals was to allow competitors to run their bots in a custom Python environment, allowing them to use machine learning libraries of their choice.
requirements.txt
, on every git push
.Exported from a markdown vault by EKB's vaultparser