Did you see the laundry list of "Current Customer Use Cases" under https://ramm.science/x/signalbox/?
I respect fake-it-till-you-make to some degree, but I find too much "spinning" actually hurts the ML industry (though no doubt profitable for the spin artists). Communication style straight from the ICO world.
And he singlehandedly built one of Europes largest online betting system backends (and scaled it to 800 transactions a second using Deep Learning, Kafka and a Hadoop cluster)
The frontends (where the casino / betting games run) do a lot more than this, but they work against the balance in the account, it's the payment gateway that's doing 800/s
They do do fraud detection on the deposits, because of anti-money-laundering. The DL models also monitor various other types of abuse (bonus abuse and in-game abusers). They also are experimenting with Deep Reenforcement Learning to actually play some of the games
But good work making something and becoming successful!