EXPLORE / UBW
Download resume ↗

05 / Cloud & infrastructure

Linux & Cloud Infrastructure EngineerFrom local build
to dependable deployment.

Give your application a home that is easy to operate. I configure Linux servers, containerized services and deployment workflows, with the documentation your next engineer will appreciate.

SYSTEM BLUEPRINTFIG. 05
  1. 01Application build
  2. 02Container runtime
  3. 03Proxy & network
  4. 04Monitor & recover
DESIGNED AROUND YOUR WORKFLOWINPUT → OUTCOME
THE TOOLKIT
  • Linux
  • Docker
  • Nginx
  • Hetzner / AWS
  • Ollama

01 / THE CAPABILITIES

Built for the way
your business works.

I configure Linux infrastructure for web applications, workers and local model workloads. Services include Docker deployment, reverse proxies, backups, monitoring setup and operational documentation.

01

Repeatable deployments

Container definitions and environment documentation that turn a one-off server setup into a process your team can repeat.

02

Operational visibility

Useful logs, health checks and backup procedures, with practical recovery instructions instead of assumptions.

03

Local inference foundations

Assess memory, model size and workload before configuring Ollama and service isolation on your own hardware.

02 / THE SCOPE

A clear scope.
A useful handover.

Every engagement starts with your constraints. We agree on the integrations, delivery milestones and operational ownership before the build.

Application and worker hostingSelf-hosted automationPrivate model inference

WHAT YOU CAN EXPECT

  • Server and container configuration
  • Reverse proxy and TLS setup
  • Backup and recovery procedures
  • Deployment runbook and handover

Scope-based proposal · Provider and hosting costs agreed separately

03 / HOW WE WORK

From first conversation
to a working system.

  1. 01

    Understand

    Map the workflow, constraints and what success should look like.

  2. 02

    Design

    Agree on the architecture, scope and the decisions worth testing early.

  3. 03

    Build & validate

    Deliver in reviewable increments and test the failure paths too.

  4. 04

    Launch & hand over

    Deploy, document and agree on ongoing operational ownership.

04 / RELATED WORK

Local LLM inference workstation

A Linux workstation for local model inference using Ollama and isolated service environments.

Private project · Source code is not publicly available

Read the architecture walkthrough

05 / A LITTLE CLARITY

Good questions.
Straight answers.

A few things you might want to know before we start.

Which hosting providers do you work with?

I work with Linux-based hosting, including Hetzner and AWS. The choice depends on region, workload, managed-service needs and the budget agreed during scoping.

Can you deploy a local language model?

Yes. I can configure Ollama and containerized services on suitable hardware. Model size, quantization, memory and expected concurrency determine whether the hardware is a practical fit.

Do you offer ongoing server maintenance?

Maintenance can be agreed separately from setup. The scope should identify update ownership, backup checks, monitoring and response expectations; round-the-clock support is not assumed.

How are secrets handed over?

Credentials stay outside source control and are transferred through an agreed secure channel. The runbook records where configuration belongs and who owns rotation, without embedding secret values.

LET’S BUILD SOMETHING USEFUL

Your next idea.
Let’s make it work.

Tell me what you’re building, what’s getting in the way, and where you want to go.

Start a conversation Prefer Upwork? Find me there Islamabad, PK · Working worldwide