TECHNICAL PROFILE / MAKSYM ZAKHAROV

AI, systems and
automation.

I integrate AI into web products, automate operations and run Linux infrastructure. From architecture and APIs to deployment and automated checks.

18+ mocommercial hosting
50+paying SaaS clients
48 hPostgreSQL + Go · Route Engine
LXC / CIGitHub Actions · Docker

WORKING INTEGRATION / XDATASYS.COM

Ask the AI about my work.

Built an AI assistant for this portfolio and connected it to my own LLM infrastructure. It answers questions about my experience and projects, with links to the relevant case studies.

  • Public portfolio knowledge
  • Conversation history
  • RU · EN · DE · UA
Try the AI assistant

Example question“What has Maksym automated in his projects?”

How the integration works

  1. Website

    A visitor asks a question.

  2. Protected API

    The website sends the request to the server.

  3. Own LLM

    The model uses the portfolio knowledge base.

  4. Answer + sources

    The visitor receives an answer and case-study links.

SELF-HOSTED CI / AI-ASSISTED DELIVERY

AI-assisted development loop

I run GitHub Actions on self-hosted Proxmox runners. Docker isolates CI jobs.

  1. Define the change

    Set requirements and acceptance criteria.

  2. Open a pull request

    The coding agent implements the change in a branch.

  3. Run automated checks

    CI runs the relevant checks for the project.

  4. Fix and recheck

    The agent uses CI logs to fix failures and rerun checks.

Checks by project
LR WEB
Application code and database checks in PHP, SQL and JavaScript.
XCloudPro
Billing, concurrent operations and browser regressions.
HostKit / De Tantsi
Integrations, migrations and UI regressions.
Technical details when you need themStack, areas of ownership and migration figures

WHAT I CAN OWN TECHNICALLY

  • Deploy and operate Linux-based services
  • Design and implement internal automation tools
  • Integrate external REST APIs and data flows
  • Build RAG/LLM workflows with validation and source grounding
  • Migrate infrastructure and restore services after incidents
  • Design database-backed PHP/Python applications
  • Own self-hosted CI runners, automated test matrices and release gates
  • Translate an operational bottleneck into a measurable software workflow

STACK AT A GLANCE

SYSTEMS

Linux · Proxmox VE · KVM/QEMU · LXC · Docker · VFIO/IOMMU · OVH VPS · ISPmanager · Pterodactyl · DNS/TLS

AI / LLM

Qwen · Open WebUI · llama-router · RAG · knowledge bases · tool workflows · source grounding · model routing · local inference

BACKEND / DATA

Go · PHP 8.x · Python · JavaScript · PostgreSQL 16 · MySQL · SQLite/MBTiles · REST APIs · SSR · MVC/DI · asyncio · APCu · Memcached

INTEGRATIONS

Steam API · FACEIT API · RCON/A2S · Discord · Azure TTS · OSRM · VROOM · Photon

CI / QA

GitHub Actions · self-hosted runners · Docker · PHPUnit/PHP · SQL · JavaScript · Chromium · migrations · regression

Route Engine: migration details

Owned architecture, integration and post-switch validation: PostgreSQL, a Go core for 27 HTTP endpoints, 174,083 records and 26,545 objects checked. A separate v12 measurement showed 63.2% smaller application storage.

ROLE FIT

Technical Product Manager · System Administrator · CI / Automation Engineer

Discuss a role

Maksym’s AI assistant

I’m Maksym’s AI assistant. Ask about his experience, projects or ways to work together.

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