So I went for another internship—because apparently the first one wasn’t disheartening enough to stop me from trying again. Reality check hits you once, and then you kind of get used to it.
This time, I landed a position as an Automation and Optimization Intern, where my main tasks were related to computer vision. Sounds cool, right? Yeah… until the first week hit.
Even for an extrovert like me, it was uncomfortable. Like, you’d expect a supervisor to at least walk you through the basics. Nope. They just threw the term “video stitching” at me and left me to vibe with three random videos. Me and that unfamiliar term just… stared at each other. Awkward silence.
Now, if you’re in tech, there’s one thing you absolutely need: the ability to learn fast. No one’s gonna spoon-feed you.
t took me four weeks to figure things out—leveling up step by step as my supervisor kept tossing more complexities at me. First, I got the basic stitching done. Then came more videos. Sure, Python has built-in libraries that can help. Cool, right? Just call the library and tadaa! Easy win.
Except… nope. Those libraries aren’t one-size-fits-all. The moment the complexity increased, functions started failing left and right. And here’s the kicker—I had no clue about their internal workings.
That’s when ChatGPT came in clutch. With a lot of trial and error (and failed pipelines that deserved funerals), I finally built my own custom pipeline for video stitching. It wasn’t smooth, but one of those many attempts finally worked.
The takeaway?
ChatGPT is awesome—but only if you actually know how to use it. Don’t trust AI blindly. Tech will keep throwing curveballs at you, and the only way to survive is to adapt fast.
Because honestly? In tech, adaptability isn’t a nice-to-have—it’s survival. And if you’ve got curiosity + persistence, even AI can be your sidekick, not your crutch.
My Failed Pipelines :D
Top comments (0)