Oleksandr Vasylevskyi
Offer Oleksandr work on your next project.
Rating
Language proficiency level
Skills and abilities
Programming
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AI & Machine Learning
from 34 USD for project
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Bot Development
from 23 USD for project
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Data Parsing
from 18 USD for project
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Databases & SQL
from 14 USD for project
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Python
from 11 USD for project
Services
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Data Processing
from 11 USD for project
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Information Gathering
from 11 USD for project
Administration
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Linux & Unix
from 11 USD for project
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Windows
from 9 USD for project
Portfolio
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11 USD Automatic file structuring and sorting script
Data ProcessingDeveloped an autonomous Python script for automating routine tasks related to cleaning and structuring disk space. The utility organizes target directories (e.g., "Downloads" or work folders") independently, saving user time. Implemented functionalities and architectural solutions:
1) Intelligent sorting: the script scans the specified folder, identifies file types by their extensions, and automatically distributes them into corresponding categories (Documents, Images, Videos, Archives, Scripts, etc.) based on a flexible mapping dictionary.
2) Automatic structure creation: if the required folder for a category does not exist, the script dynamically creates it using the system library os.
3) Data stability and security: the code accounts for converting extensions to lowercase (.lower()) and implements mandatory object checks (os.path.isfile), preventing accidental movement of directories. The script is protected from crashes if the target path is missing.
… 4) Optimization for Linux/Ubuntu: the utility uses user path expansions (os.path.expanduser), operates instantly, and is ready for regular scheduled runs (cron).
Technology stack: Python 3.x, OS, Shutil (working with the file system and data streams), Linux.
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27 USD Interactive Telegram bot for monitoring and administration
Bot DevelopmentDeveloped a functional Telegram bot in Python (pyTelegramBotAPI) for interactive monitoring and management of a list of target servers in real-time. Implemented functionalities and architectural solutions:
1) Dynamic management (CRUD): Implemented /add and /remove commands that allow the administrator to add new hosts or remove existing ones directly through the chat interface with automatic database (servers.txt) overwrite.
2) Status check on demand: Upon the /status command, the bot instantly pings all configured servers and sends a structured report on the current status (UP/DOWN).
3) User-friendly interface: Full output of the host list with the /list command using Markdown formatting for a beautiful and readable display of data to the user.
… 4) Security and isolation: The logic of operation is completely separated from configuration files, tokens are moved to a secure environment, and user input is automatically validated (converted to lowercase, exception handling).
Technology stack: Python 3.x, pyTelegramBotAPI (telebot), OS / File I/O, Linux OS.
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34 USD Telegram bot with artificial intelligence integration
Bot DevelopmentDeveloped a modular and asynchronous Telegram bot in Python that functions as a personal AI assistant. The project is fully ready for deployment and automation of client service. Technical features and implemented functionality:
1. Asynchronicity: The bot is built on the modern framework aiogram 3.x, ensuring fast and stable message processing without delays.
2. AI Integration: Full connection to the Gemini 2.5 Flash neural network has been implemented via the official API from Google AI Studio.
3. Context Control (Memory Management): System instructions have been configured for the AI to provide clear, friendly, and accurate responses. A /reset command has been added for quick memory clearing of the current session.
… 4. Formatting and Filtering: The bot automatically processes Markdown formatting (code, bold text), adapting it for beautiful display in the Telegram interface.
5. Security: A filter by CHAT_ID has been added — the bot only responds to messages from a specific user (or admin), ignoring external requests. Token configuration is stored in a separate secure file.
6. Deployment: The script is optimized for 24/7 operation in the background on a Linux (Ubuntu) server.
Technology stack: Python 3.12+, aiogram 3.x, google-genai, Git, Linux.
Activity
| Latest proposals 2 | Budget | Added | Deadlines | Proposal | |
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Create a bot in Telegram (seller's cabinet)
18 USD
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A bot needs to be created in Telegram for subscription payment.
45 USD
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