DevOps & Backend Developer

Nurbekjon Akhmatov.

I design and run the quiet, critical parts of the web — backend services, containerized platforms, and delivery pipelines that behave predictably under real-world load.

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●Open source on GitHub·info@akmalovich.dev·UTC --:--:--

delivery-pipelinelive

  • buildimage · ok
  • testsuite · ok
  • deployrolled out

system-pulsesteady

github · akmalovichdev

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public repositories, live from GitHub

Signals

The picture at a glance.

Live numbers where possible — nothing invented.

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Public repositories maintained on GitHub

live · api.github.com

0

Featured builds documented on this site

selected work

0

Core disciplines — from DevOps to scalable backends

practice areas

0+

Tools & technologies in active rotation

toolbelt below

Where my attention goes

A typical engineering week, roughly

100%engineering
  • DevOps & infrastructure45%
  • Backend & APIs35%
  • Automation & learning20%

Toolbelt depth

Confidence by daily practice

Python
core
Docker
core
REST / WS
core
TypeScript
core
CI/CD
focus
Kubernetes
focus
Terraform · AWS
focus

self-assessed · core = shipped work, focus = active specialization

Right now

Current engineering focus

  • BuildingAI assistants, backend systems & DevOps automation for scalable projects
  • DeepeningAdvanced Kubernetes, microservice architecture, AI/ML systems
  • Open toCollaboration on AI, IoT and cloud infrastructure

Selected work

Things I've shipped and stand behind.

Every project links to real code on GitHub.

Featured · Real-time backend Abstract map with a live amber position marker and ripple rings

Project · 01

Location-tracking

A real-time geolocation platform. Clients stream coordinates over WebSockets while an admin panel renders live positions and movement history on an interactive map — with shareable tracking links keeping access controlled.

  • WebSocket streaming from client to admin panel
  • Live map, movement history, user management
  • Generated tracking links with controlled access
PythonFlaskWebSocketsLeafletReal-time
LLM backend Abstract token streams flowing through a dark monolith node

Project · 02

VisualThink-llm

Backend for visual-thinking LLM workflows — a TypeScript service layer that orchestrates model calls behind a clean, versioned API. Part of my ongoing work on AI assistants.

TypeScriptLLMAPI design
Automation · Telegram Abstract pipeline of media shapes moving into a receiving tray

Project · 03

privateDownloader

A Telegram userbot that turns one command into a media pipeline: detects the content type, downloads files with rich captions, and delivers everything to Saved Messages.

PythonTelegram Bot APIAutomation

Project · 04

telegrambot-template

A batteries-included scaffold for shipping Telegram bots without re-plumbing the basics every time.

Python

Project · 05

docker

Container build recipes — reproducible images for the services I run and ship.

Dockerfile

Project · 06

akmalovichdev-website

This site. TypeScript, hand-tuned performance, and zero frameworks where none are needed.

TypeScript
Browse all repositories on GitHub →

Engineering

How a request flows through my systems.

Select a stage to inspect the tooling and the principle behind it.

Stage 01 / 06

Edge & clients

TLS termination, CDN and load balancing — the request is handled as close to the user as possible.

TLSCDNLoad balancing

Terminate close to the user.

Toolbelt

The stack, honestly labeled.

core  shipped work  ·  focus  specialization

Backend & APIs

  • Pythoncore
  • Flaskcore
  • TypeScriptcore
  • REST API designcore
  • WebSockets / real-timecore
  • Telegram Bot APIcore

Infrastructure & Delivery

  • Dockercore
  • Linuxfocus
  • Kubernetesfocus
  • Terraformfocus
  • CI/CD pipelinesfocus
  • Git & automationcore

Cloud & Scale

  • AWSfocus
  • Cloud infrastructure designfocus
  • Microservicesfocus
  • Scalable backend systemsfocus
  • Caching & object storagefocus

Ask me about

  • DevOpspractice
  • Backend developmentpractice
  • System administrationpractice
  • Cybersecurity basicspractice
  • AI assistantscurrent work
Currently deepening → advanced Kubernetes· microservice architecture· AI/ML systems

Journey

Where I am. Where I'm heading.

Now

Independent engineer — DevOps & Backend

Backend systems · AI assistants · DevOps automation for scalable projects

Designing and shipping backend services, bot platforms, and delivery automation end to end — from architecture and containers to pipelines and monitoring.

Full-timeContractRemote
Ongoing

Open source

github.com/akmalovichdev

Public work in the open: a real-time tracking platform, Telegram tooling, LLM backends, and container recipes. Open to collaboration on AI, IoT, and cloud infrastructure.

Next

Your team

Open to roles where reliability and automation matter

If you need someone who treats infrastructure as a product — reviewed, observable, and boring on purpose — let's talk.

Start a conversation ↓

Operating principles

What I optimize for.

Reliability by default

Systems are designed for the day something breaks — retries, timeouts, and graceful degradation are features, not afterthoughts.

Automate the toil

If a task happens twice, it becomes a script. If it happens weekly, it becomes a pipeline.

Observability built in

Logs, metrics, and traces from day one. You can't operate what you can't see.

Simple until proven otherwise

Boring technology wins. Complexity is admitted only when scale demands it.

“Turning infrastructure into art — with code and automation.”

— Nurbekjon Akhmatov

About

Engineer first, always.