Volodymyr Bondarchuk
Offer Volodymyr work on your next project.
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Offer work
Kyiv,
Ukraine
1 day 12 hours back
available for hire
on the service 5 days 19 hours
Rating
Successful projects
Average rating
Skills and abilities
Programming
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Bot Development
from 45 USD for project
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Data Parsing
from 34 USD for project
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Python
from 45 USD for project
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Web Programming
from 101 USD for project
Portfolio
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226 USD Spark — Modern dating platform
Web Programming
Developed a modern web application for dating called Spark, which connects people through geolocation and provides real-time communication. The project was created in a team of developers, where I was responsible for the critical server infrastructure, security, and user profile development.
My areas of responsibility (Backend, Frontend, DevOps):
… Security and authorization system: Implemented a robust registration and session system based on JWT (JSON Web Tokens). To protect against automated attacks and spam bots, I integrated Cloudflare Turnstile.
User profiles: Created a dynamic and responsive profile interface (React + Tailwind CSS) with the ability to upload photos and customize personal preferences.
DevOps and production infrastructure: Fully designed and configured the network infrastructure. Containerized the application using Docker and Docker Compose. Set up Nginx as a Reverse Proxy (with SSL certificate provision) and connection to ASGI servers Gunicorn/Uvicorn for stable handling of asynchronous requests.
Overall scale and functionality of the Spark platform:
Real-Time chat: Instant messaging between users using WebSockets (Django Channels + Redis).
Geolocation search: Pair matching algorithms based on location using the spatial extension PostGIS for PostgreSQL.
Project technical stack:
Frontend: React.js, Tailwind CSS, Vite.
Backend: Python, Django, Django REST Framework (DRF), Django Channels.
Databases: PostgreSQL (PostGIS), Redis.
DevOps: Docker, Nginx, Gunicorn, Uvicorn, Linux.
The project excellently demonstrates my ability to work with complex microservices architecture, configure production-level security, and successfully deploy Full-Stack applications.
#react #django #fullstack #docker #nginx #websockets #postgresql #devops #python #WebDevelopment
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113 USD WorkFlowCRM — corporate deal and client management system
Web Programming
Developed a comprehensive CRM system for optimizing business processes, client accounting, and sales management. The project was created from scratch with an emphasis on data storage reliability, fast query processing, and a user-friendly interface for managers.
Main functionality of the platform:
… Analytical Dashboard: The main panel for a quick overview of key metrics, statistics, and the overall state of the business in real-time.
Deal Management: A full-fledged deal tracking system. A user-friendly interface has been implemented with sorting capabilities, instant search, and status changes at various stages of the sales funnel.
Financial Calculation: Built-in forms for creating/editing deals with a module for automatic profitability and expense calculation.
Counterparty Database: Structured and secure storage of client, supplier data, and interaction history with them.
Technical stack and architecture:
Backend: Python, Django (clean architecture, secure session handling and authorization).
Database: PostgreSQL (designed scalable relational structure).
Infrastructure (DevOps): Docker, Docker Compose (the project is fully containerized and ready for instant deployment on any server).
Tools: Use of the modern package manager uv for environment optimization.
The system has a high level of security, clean code, and is easily scalable to new business requirements (for example, for future integration with external service APIs or payment systems).
#python #django #crm #postgresql #docker #webdevelopment #backend #b2b #businessautomation #database
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56 USD Telegram bot CRM for car service stations and auto services
Bot Development
Developed a comprehensive ecosystem based on Telegram for automating the work of car service stations and auto repair shops. The bot fully covers the life cycle of vehicle maintenance: from the first customer request about a breakdown to the final notification "Repair completed."
The project transforms a regular Telegram into a powerful CRM system with role distribution (Client, Mechanic, Administrator).
… Main features and implemented functionality:
For clients:
"Personal garage": Intuitive 11-step car registration. When a client contacts again, they simply select the saved car using In-Line buttons, skipping the data entry stage.
Media files: Ability to add photos and videos of damages, which are instantly sent to the mechanics.
Status tracking: The client sees the history of their orders and receives automatic notifications about status changes (Pending, In progress, Completed).
For mechanics:
Workspace automation: For each new order, the bot automatically creates a separate topic (Forum Topic) with the car number (e.g., #12 [AB1234CD] Toyota Camry).
Interactive cards: A detailed order card with media files and control buttons (Take to work, Complete repair) is sent to the topic. Upon completion of the repair, the topic is automatically closed to avoid cluttering the work chat.
Admin panel and Analytics:
Full CRUD in Telegram: Management of the user database, editing car data, ability to forcibly change order statuses or ban users directly from the chat.
Live statistics: Dashboard with key metrics (total number of clients, cars, most popular car brand at the service station, workload by months).
Data export (Google Sheets API): Built-in generation of CSV reports and integration with Google Sheets via OAuth 2.0. One-click export creates/updates a table on the administrator's Google Drive and sends a direct link in the chat.
Technical stack:
Language: Python 3.12+
Framework: aiogram 3.x
Databases: PostgreSQL + SQLAlchemy 2.0 (fully asynchronous interaction)
Integrations: Google Sheets API, Google Drive API
Deployment: Docker & Docker Compose
#python #telegrambot #aiogram #crm #postgresql #docker #autorepair #automation #googlesheets #backend
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16 USD Telegram bot for automating subscriptions and broadcasts in channels
Bot Development
Developed a high-performance Telegram bot for full automation of subscriber management in private Telegram channels. This bot takes over the routine of moderating requests and effectively interacting with a new audience.
Key features and implemented functionality:
… Automatic approval of requests: The bot instantly intercepts and approves join requests to the channel (chat_join_request), without making users wait.
Delivery of Lead Magnet: Immediately after joining, the bot automatically sends the user a personalized greeting in direct messages (for example, bonus material, links, or rules).
Admin panel: A convenient menu for the channel owner displaying detailed statistics (total number of subscribers in the database and the number of new users per day).
Secure mass messaging: Built-in messaging system for all saved users. Protection against Telegram API limits (bypassing FloodWait error) is implemented to prevent bot blocking.
Reliable database: All data (Telegram ID, Username, name, join date) is securely stored for further marketing work.
Technical stack (Tech Stack):
Language: Python 3.12+
Framework: aiogram 3.x
Database: PostgreSQL
ORM: SQLAlchemy 2.0 (Asynchronous work)
Deployment and infrastructure: Docker, Docker Compose
The project is built using modern asynchronous approaches, ensuring stable operation and fast data processing even during high traffic influx. Fully prepared for quick deployment on the client's server (VPS).
#python #telegrambot #aiogram #postgresql #docker #automation #botdevelopment #chatbot #parsing