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aminyx/README.md

AMINYX — Backend · Full-stack · Systems

Aminjon Azizov

Backend & Full-stack Developer · Python, Go · AI-assisted development

I design, build and run production systems: backend services, Telegram bots, an Android client and the Linux server fleet behind them. AI coding agents (Claude Code, Codex) are my main tools — I own the architecture and the task breakdown, review and test what the agents write, debug in production and keep the service running.

Website CV Telegram Email

Tajikistan · open to remote full-time roles · Russian and Tajik (fluent), English (basic)

Commercial experience

SomonVPN — a commercial VPN service, built and operated end to end. Closed source; case study on aminyx.top.

SomonVPN system overview: the Android app, Telegram bots and web clients talk to a Go core API backed by PostgreSQL; the API provisions a Linux server fleet running Xray, WireGuard and QUIC, which is watched by monitoring

  • Backend — Go modular monolith, REST API, PostgreSQL: accounts, subscriptions, payments, server catalogue, client config generation
  • Bots — Telegram bots in Python for sales, payments and support
  • Android — Kotlin / Jetpack Compose client with WireGuard and Xray tunnels
  • Infrastructure — Linux server fleet (Xray VLESS/Reality, WireGuard, QUIC) with automated provisioning, health checks and monitoring
  • Aminyx Link — an experimental transport protocol in Rust used inside the product; closed source, not independently audited

Client project — a turnkey VPN service for a client: website, user dashboard, Telegram bot with payments, and the servers.

Selected projects

Project What it is Stack
aminyx.top Personal site and portfolio: three languages, three.js scenes on a single WebGL context, Playwright smoke tests in CI JavaScript · Vite · three.js
somoni-tracker Expense tracker: Telegram bot for one-line input in RU/TJ/EN with typo-tolerant categories, plus a web analytics dashboard TypeScript · Next.js · grammY · Drizzle · SQLite · Docker
Cybersec Free cybersecurity course from zero to junior in Russian and Tajik, with a quiz site and CTF tasks — site Python · GitHub Pages
keelstore Experimental — a learning project built with an AI agent. Embedded LSM-tree key-value store: WAL, skiplist, bloom filter, levelled compaction Go
hnsw Experimental — a learning project built with an AI agent. HNSW vector-search index with an in-browser demo — demo Rust

Stack

Python, Go, PostgreSQL, TypeScript, React, Next.js, Kotlin, Docker, Linux, Nginx, Rust, Git

How I work

  • Architecture first. I decide the structure, data model and boundaries, then split the work into small, checkable tasks for AI agents.
  • Verification, not trust. Every change goes through tests, a second agent as reviewer, and checks on real devices and servers before it ships.
  • I run what I ship. Logs, monitoring, incident response and production fixes are part of the job.

Pinned Loading

  1. aminyx.top aminyx.top Public

    Personal site and portfolio — Vite, vanilla JS, three.js on a single WebGL context; RU/TJ/EN; Playwright smoke tests in CI, GitHub Pages

    JavaScript

  2. somoni-tracker somoni-tracker Public

    Expense tracker in Telegram: one-line input in RU/TJ/EN with typo-tolerant categories + a web analytics dashboard (Next.js, grammY, Drizzle, SQLite)

    TypeScript

  3. Cybersec Cybersec Public

    Бесплатный курс кибербезопасности с нуля до Junior: 270 дней на русском и таджикском, сайт с проверкой знаний, CTF, экзамены и портфолио-проекты

    Python 4

  4. keelstore keelstore Public

    Experimental embedded LSM-tree key-value store in Go — a learning project built with an AI agent: WAL with CRC, skiplist, bloom filter, levelled compaction, snapshot isolation

    Go

  5. hnsw hnsw Public

    Experimental HNSW vector-search index in Rust — a learning project built with an AI agent, with a demo that builds the graph in your browser

    Rust