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Oleg Kit

Offer Oleg work on your next project.

Ukraine Kharkiv, Ukraine
8 hours 10 minutes back
responds within a day
Available for hire available for hire
3 Safes completed
1 month 9 days back
3 clients
29 proposals made
age 20 years
on the service 3 months 11 days
  • web developer
  • selenium
  • PostgreeSQL
  • django
  • telegram python bot
  • React/TypeScript
  • python
  • fastapi
  • aiogram
  • telegram bot

Rating

Successful projects
100%
Average rating
10 out of 10
Rating
886
Python 1
478 place out of 4503
Web Programming
1556 place out of 6515
2 projects
Bot Development
2 projects
Data Parsing

Language proficiency level

Українська Українська: fluent
Русский Русский: fluent
English English: upper-intermediate
Slovenčina Slovenčina: pre-intermediate

Skills and abilities

Programming

Portfolio


  • 100 USD

    Automation of mailings (Telegram, Viber, WhatsApp)

    Bot Development
    Developed a comprehensive system for managing mass mailings and communications through popular messengers. The project is focused on business tasks: customer notifications, marketing campaigns, and automation of responses across different channels from a single interface.

    Telegram: Implemented through the official API using the asynchronous framework Aiogram 3.

    WhatsApp: Automation is performed using Selenium WebDriver. This allows bypassing the limitations of paid business APIs and simulating the actions of a real user to send messages.

    Viber: Unique solution using an Android emulator (virtual machine). The logic for interaction with the official Viber APK application is written inside the virtual machine, ensuring message delivery without using expensive business accounts.

    Architecture: Centralized management through a Python script, asynchronous task queue, and data storage in PostgreSQL.
  • 200 USD

    Interactive English Learning Bot — Telegram service for memorization

    Bot Development
    Developed a functional Telegram bot for effective learning and vocabulary expansion. The bot allows users to create a personal word database and memorize them in an interactive game mode.

    Key features:

    Personalized learning: Uploading personal words and phrases to the database.

    Interactive training: Knowledge testing mode (quizzes/cards) for material reinforcement.

    Scalable architecture: The bot is designed to handle a large number of users simultaneously.

    Data management: Full CRUD cycle for user dictionaries.

    Technical stack:

    Language: Python.

    Framework: Aiogram 3.x (using asynchronous programming for high responsiveness).

    Database: PostgreSQL (reliable storage of user progress and dictionaries).

    ORM: SQLAlchemy — for clean and efficient database management.

    Infrastructure: Deployment on a Linux server using Docker (for environment isolation).
  • 1100 USD

    Full-stack Marketplace: Service for exchanging educational services with chats

    Web Programming
    Developed and launched a full-fledged SaaS platform designed to automate interaction between students (clients) and performers of academic work. The project represents a complex ecosystem with role differentiation and real-time communication.

    Key features of the platform:

    Two-way business logic: Personal accounts for Clients and Performers. A complete order management cycle is implemented: publication, response, acceptance for work, rejection, and completion of the deal.

    Real-time chats: An integrated messaging system for prompt discussion of order details between users.

    Secure authorization: Integration with Google OAuth 2.0, allowing users to register and log in with one click.

    Verification: A profile confirmation system to ensure safety and trust within the community.

    Technical stack and solutions:

    Backend: Python / Django. The architecture is built on REST API, implementing complex order state logic.

    Frontend: React. A dynamic and responsive interface providing high-speed operation without page reloads.

    Infrastructure and DevOps:

    The project is fully containerized using Docker.

    WhiteNoise is used for serving static files in production.

    The Nginx web server is configured as a reverse proxy to handle requests.

    Database: PostgreSQL.

    Project status: The service is fully deployed and operational. It demonstrates skills in creating a production-ready product.

    #FullStack #SaaS #Python #Django #React #Docker #Nginx #GoogleAuth #Marketplace #WhiteNoise

Reviews and compliments on completed projects 3

14 May 223 USD
Character chatbots

Quality
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Chat bot characters, done well/on time, thank you!

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I liked everything, knows his/her business.

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Thank you for the work, speed, and result! I recommend for collaboration.

Activity

  Latest proposals 10
A Telegram bot is needed. The programming language is Python, and the bot must have an admin panel for processing requests.
156 USD
Database extraction
33 USD
Bot in Telegram
134 USD
Development of a web service with paid access to an online chat
601 USD
New store on Woocommerce
2292 USD
New website for sto-vag.com.ua
223 USD
Application development
601 USD
CRM system for Railway Logistics
1000 USD
Development of a Telegram pipeline in n8n: Auto-generation of content, editing, creating descriptions, and auto-publishing
245 USD
Need to create a bot in Telegram with an AI assistant.
67 USD