Denis Arger

Backend / Automation / AI Integrations Engineer

I build practical systems around Telegram bots, serverless backends, integrations (Notion, Google, Supabase), and automation workflows.

Impact

• 21 public repositories actively maintained
• 13 core repositories updated in one standardization wave (README + LICENSE + topics)
• Multi-stack delivery across Node.js/TypeScript and Python projects
• Production-focused patterns: CI, safer docs/configs, and deployment-ready repositories
• Latest CI run status across key repositories: passing
• Quality baseline established: README + LICENSE + lint + test + CI for active projects

Featured Projects

1) telegram-event-registration-service

Multi-tenant event registration SaaS: Telegram bot + admin panel + Supabase-backed API. Outcome: registration flow, capacity/waitlist logic, admin lifecycle actions, CSV export. Stack: TypeScript, Node.js, Next.js, Telegraf, Supabase/PostgreSQL, Docker.

2) church-management-js

Production-oriented Telegram platform for church workflows with Notion/Supabase integrations. Outcome: modular bot architecture, deployment scripts, CI-enabled repository. Stack: TypeScript, Node.js, Netlify Functions, Supabase, Notion API.

3) work-reports

Telegram bot for collecting and aggregating team reports from Google Sheets/Drive. Outcome: command-driven report generation and Vercel webhook runtime. Stack: TypeScript, Node.js, Google APIs, Vercel.

4) MyAI

Next.js Telegram AI assistant with OpenAI integration and Supabase-backed memory. Outcome: text/voice AI flows with persistent conversation history and media handling. Stack: TypeScript, Next.js, OpenAI API, Supabase, Telegram Bot API.

5) Track_parser

Next.js application for radio track preparation and operator workflows. Outcome: ingest, classify, process, and upload audio tracks in one pipeline. Stack: TypeScript, Next.js, FFmpeg, Supabase, Netlify/Vercel.

6) ControlWork

Cross-platform desktop work-time tracker with break reminders. Outcome: tray-based UX, active-time accounting, and local persistence for daily focus control. Stack: Python, PySide6, SQLite.

What I Focus On

• Building reliable API integrations
• Shipping practical automation tools
• Hardening repositories for production hygiene (CI, secrets safety, documentation)
• Clean incremental delivery through small commits

Tech Stack

• Languages: JavaScript, TypeScript, Python
• Backend: Node.js, Express, Flask, Netlify/Vercel Functions
• Data/Infra: Supabase, PostgreSQL, Notion API, Google APIs
• Tooling: GitHub Actions, Yarn/NPM, Jest, Vitest

Pinned Repositories

• https://github.com/DenisArger/telegram-event-registration-service
• https://github.com/DenisArger/church-management-js
• https://github.com/DenisArger/work-reports
• https://github.com/DenisArger/MyAI
• https://github.com/DenisArger/Track_parser
• https://github.com/DenisArger/ControlWork

Case Studies

• Event Registration SaaS Case Study
• Work Reports Bot Case Study
• Projects Summary (1-page)
• Quality Status

About

Backend engineer building Telegram-first automation systems with Node.js/TypeScript, Python, and API integrations (Supabase, Notion, Google, OpenAI).

GitHub About (short): Backend engineer focused on Telegram automation, serverless APIs, and AI integrations (Node.js/TypeScript, Python, Supabase, OpenAI).

Contact

• GitHub: https://github.com/DenisArger

Portfolio Page

• https://denisarger.github.io/DenisArger/