How I Lost My Job and Taught an AI to Fly: A Data Scientist’s Journey Through Aviator Game

I used to debug flight algorithms for Boeing. Now, I debug my impulses in Aviator game.

The cockpit wasn’t a screen—it was a mirror. Every multiplier wasn’t luck; it was a pattern waiting beneath the noise of crowd betting. I learned to watch the RPL curve like a pilot watches horizon—steady, silent, deliberate.

I stopped chasing high multipliers. Instead, I set a daily budget: BRL 10–20 per session, no more than 30 minutes. Like Rio’s late-night samba drumming—rhythmic, not frantic—I let the wind decide when to exit.

The real trick? It’s not in hacks or predictors. It’s in pausing before click.

Last month, during the Rio Aviation Festival, I placed 20th out of 12K players—not by betting big, but by watching others fail first. One man lost everything… then won three rounds with perfect timing.

AI doesn’t predict wins. It learns from your silence.

I don’t play to get rich. I play to stay calm under algorithmic volatility.

Join me in the Skyflight Community: share your last unreal move. Not your win—but how you listened before you clicked.