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We played hide and seek in waterfalls… We were younger
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We played hide and seek in waterfalls… We were younger
  • Moscow
  • 11:30 (UTC +03:00)
  • Instagram sh4part

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ShapArt/README.md

ShapArt

Backend, automation, and operator tooling

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I build practical software for workflows that are usually painful, repetitive, or easy to break: Telegram bots, internal operator tools, browser automation, data export utilities, and systems that sit between infrastructure and day-to-day operations.

A meaningful part of my applied work lives in private repositories because it is tied to internal environments or non-public assets. The public repositories below show the kind of engineering problems I like to work on: delivery flows, operator UX, guarded automation, and tools that reduce manual effort instead of adding ceremony.

Focus areas

  • Backend systems for API-driven flows, integrations, and operational logic
  • Automation & workflow tooling for repetitive business processes and internal support scenarios
  • Telegram bots & operator UX where onboarding, delivery, and support all have to work together
  • Infrastructure-minded delivery with attention to configuration, failure modes, and maintainability
  • Practical internal tools that make messy manual work more repeatable and safer

Selected public projects

Project What it does Stack Why it is interesting
vpn-bot-stars-hiddify Telegram-based VPN subscription backend with webhook handling, plan management, Hiddify provisioning, deeplink/QR delivery, and reminder logic Python, FastAPI, Telegram Bot API, SQLite, APScheduler Ties billing, provisioning, and client onboarding into one operator-facing flow
Matrtix-Cleaner Tampermonkey operator tool for previewing and applying guarded bulk changes in OpenText approval matrices JavaScript, Tampermonkey, jQuery, OpenText DOM integration Useful example of browser-side automation with safety rails, dry-run logic, and domain-specific operations
outlook-exporter Windows-first Outlook export and spreadsheet processing workspace for turning mailbox data into structured operational artifacts Python, pywin32, pandas, openpyxl, PySide6 Sits at the intersection of office automation, desktop tooling, and data handling
eyegate-l-luckfox-scud Edge-focused computer vision prototype aimed at constrained hardware Python / CV-oriented tooling on embedded-style hardware Shows interest in deployment constraints, not just model code in isolation
8-sem-network-labs Structured Cisco Packet Tracer lab archive for computer networks coursework Cisco Packet Tracer Academic repository, but useful as evidence of systematic networking work rather than random one-off files

Engineering approach

I like systems that turn fragile manual steps into repeatable workflows.

That usually means being careful about boundaries: what should be automated, what should stay operator-controlled, what needs a preview or dry-run first, and what has to fail closed instead of failing creatively.

I care more about clear behavior and usable interfaces than about over-abstracting a codebase for its own sake.

Stack snapshot

Languages & runtime

Python, JavaScript, SQL, shell tooling

Typical building blocks

FastAPI, Telegram Bot API, SQLite, pandas, openpyxl, PySide6, Playwright, browser userscripts, environment-driven configuration

Common problem shapes

  • intake and triage flows
  • guarded automation
  • export / transformation pipelines
  • operator-facing utilities
  • integration-heavy scripts and services

Notes on repository scope

Not every repository here is meant to look like a startup product. Some are intentionally small utilities, course archives, or experiments. I prefer to document them honestly rather than pretending every repo is a platform.

Contact / navigation

  • GitHub: @ShapArt
  • Main public repositories: see the table above
  • Some applied workflow tooling and internal automation remain private by design

RU

Делаю прикладные backend- и automation-инструменты: боты, операторские утилиты, экспортёры, браузерную автоматизацию и сервисы на стыке инфраструктуры и повседневных процессов.

Для меня важны не громкие слова, а понятная инженерная ценность: меньше рутины, меньше хрупких ручных действий, больше предсказуемости в работе системы.

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  1. eyegate-l-luckfox-scud eyegate-l-luckfox-scud Public

    Edge AI computer-vision prototype (face+pupil) optimized for Luckfox-class embedded hardware.

    Python

  2. image-cover-cropper image-cover-cropper Public

    Smart visual crop engine with saliency + face-aware framing for high-conversion cover composition.

    Python

  3. outlook-exporter outlook-exporter Public

    Scalable Outlook/Graph extraction utility for email + attachment automation in reporting and operations.

    Python

  4. vpn-bot-stars-hiddify vpn-bot-stars-hiddify Public

    Revenue-ready Telegram VPN subscription platform with automated access lifecycle (Stars/XTR + Hiddify/Xray).

    Python 6 1