I’m G’iyosbek Qodirberganov, born in 2006.
My interest in programming began in 2021 when I joined the DATA Learning Centre. I chose frontend development because seeing what I build come to life visually motivates me and helps me work faster.
While preparing for university and my IELTS exam, I had to pause coding for a while. But after entering university, I restarted from scratch and continued learning with more focus and purpose.
Now I can confidently say that I know how to code. I don’t claim to be a master yet, but I understand what I’m doing and keep on improving every day.
Graduated from school
Freshman at TSUE, Marketing faculty
I’m currently a solo developer and have built multiple projects independently. Working alone has helped me develop strong problem-solving skills and the ability to learn new technologies quickly. I’m now looking forward to joining a team to grow further and gain real-world experience.
In this project, I tried to clone YouTube as much as I could. You can log into your account and see your subscribed channels and recommended videos.
You can type ingredients or a food name to get a recipe. This web page shows project integration with AI models. I focused on functionality rather than style because of not enoug time.
This webpage shows the trailer and movie information. This web page shows project integration with API.
This is a read-only webpage with clean animations and design. Whole project styling done with Tailwind css.
This webpage allows users to enroll in an English course. After submitting the form, the data is sent to a Telegram group so admins can contact them. I built this a few years ago with less experience, mainly for testing.
A simple webpage with entry-level styling.
Here are some smaller projects
Here are some projects that I’m currently working on.
Amazon cloneHTML5
CSS3
SCSS
Tailwind CSS
Bootstrap
Javascript
React js
React Router
Async & Await
Axios
Framer Motion
Javascript DOM
Git
Tailwind Vite
REST API
Hosting
Responsive Design
Reusable components
Lighthouse improvements
Performance optimizations
Local storage
