AT

Cyber Security · AI · Frontend

Ahliyor TojiboyevI build secure systems.

Cyber Security student at New Uzbekistan University with a big enthusiasm for AI — exploring systems programming, computer architecture, and how intelligent systems can be built securely. Along the way I build real products too, from web platforms like Edify.uz to Android apps and computer vision experiments.

View selected workView resumeGet in touch

01 / About

Security-minded, AI-curious, building real things.

Ahliyor Tojiboyev
  • Based inUzbekistan
  • FocusAI & Cyber Security
  • StatusOpen to work

Education

New Uzbekistan University2024–Present

B.Sc. in Cyber Security · 3rd Year

Rishtan Specialized School2022–2024

I’m a Cyber Security student with a genuine enthusiasm for AI — drawn to systems programming, computer architecture, networking, and how intelligent systems can be built securely and responsibly.

Alongside that, I build real things: React, Next.js and TypeScript on the frontend, Python, Django and Kotlin on the backend and mobile side, with C++ for when I want to get closer to the machine. Full-stack and Android development are skills I bring to the table, not the focus themselves.

When I’m not coding, I’m usually exploring new tools, tinkering with Android apps, or refining side projects like Edify.uz.

Let’s talk

02 / Selected Work

Selected work

Client project · Wasp AI2026

Edify — Teacher Portal

A SaaS education platform for learning centers across Uzbekistan: a Next.js dashboard and a native Android app that let teachers create, run and grade tests.

0Learning centers
0Active users
0Test questions
0Less prep time
  • Next.js
  • Kotlin
  • Jetpack Compose
  • MVVM
  • Firebase
  • Retrofit
Read case study →Visit edify.uz

Personal project · Computer vision2026

AI Camera Attendance

Face recognition that takes class attendance from a single camera feed.

  • Python
  • OpenCV
  • DeepFace
  • FastAPI
Read case study →

Personal project · EdTech2026

Chemistry Solution Checker

A Streamlit app that reads a chemical equation the way a student writes it, says exactly what is wrong, balances it and shows the steps.

  • Python
  • Streamlit
  • SymPy
  • pytest
Read case study →

Client project · Wasp AI2026

Wasp AI Website

The website of Wasp AI — about, services, portfolio, blog and contact pages — set against interactive space-themed backgrounds.

  • Next.js
  • React
  • Tailwind CSS
  • Framer Motion
Read case study →

Client project · Wasp AI2026

AI Button

An interactive prototype that shows one “AI” button inside the short-video feeds of 14 social platforms.

  • Next.js
  • TypeScript
  • Tailwind CSS
  • Framer Motion
Read case study →

Personal · Frontend & motion2026

Scenes

The motion system behind this portfolio: every scroll is a cut to a new scene.

  • Next.js
  • React
  • CSS
  • View Transitions
Read case study →

03 / MY OS

MY OS

A simple operating-system-inspired learning environment.

“I created MY OS to make exploring core computing concepts feel simpler, more visual, and less intimidating. It is a personal project that combines a familiar terminal-inspired interface with a beginner-friendly learning experience.”
  • Terminal-inspired UI
  • Learning focused
  • Open source
  • GitHub project
View on GitHub ↗Read case study →
my-os — zsh
~/my-os $ boot my-os
[ ok ] loading learning environment...
[ ok ] mounting chapters 00–19
modules: boot, process, memory, fs, ipc, net, security, shell
status: ready
~/my-os $

04 / Selected Studies

Selected studies

Repositories I built while studying — coursework, labs and learning projects that helped me understand a subject from the inside.

Study project · Open source

MY OS

Challenge
Operating-system concepts — boot, processes, memory, file systems — are usually taught as dense theory, which makes them feel distant and intimidating to beginners.
Idea
Turn the operating system itself into the learning path: a terminal-inspired environment where each core concept is its own hands-on module.
Process
Split the subject into 20 chapters, from boot and initialization to kernel architecture.
Outcome
An open-source learning path through operating-system fundamentals, published on GitHub.
Read study →

University study · Data Science

Data Science Study Studio

Challenge
Five weeks of lecture decks, labs and notebooks — close to 300 pages — had to become something I could actually revise from.
Idea
Compile the course into one static site: topics in order, labs linked back to the lectures, and practice that ends in a mock exam.
Process
Organised the material into 53 lecture topics, keeping the original lecture terminology.
Outcome
One place to revise Weeks 1–5 of the course. The quizzes and the mock are study material, not official exam questions.
Read study →

Study · Machine learning

Machine Learning

Challenge
Neural networks are easy to read about and hard to understand until you train one yourself.
Idea
Work through the official TensorFlow tutorials step by step in Colab and keep every notebook in one repository.
Process
Loaded and normalised the CIFAR-10 dataset — 60,000 colour images in 10 classes.
Outcome
A small CNN that reaches about 70% test accuracy, and the starting point for my machine-learning notes.
Read study →

05 / Skills

What I work with

Cyber Security 72%
AI & Machine Learning (learning)40%
Python 78%
Web Development 88%
Android (Kotlin) 75%
C++ 65%
Backend & Databases 68%
Git & Tooling 85%
PythonLinuxNetworkingC++KotlinJavaScriptTypeScriptReactNext.jsHTML5CSS3TailwindDjangoSQLitePostgreSQLAndroid StudioMVVMFirebaseGitDocker

06 / Contact

Let’s create something memorable.

Have a project in mind, a role to fill, or just want to say hi? My inbox is always open.

+998 91 206 31 40@A_TojiboyevUzbekistan
contact.sh — telegram
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Type your message and press Enter, then run send.
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