Oleksandr Vasylevskyi
Offer Oleksandr work on your next project.
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Offer work 
Zhitomir,
Ukraine
14 minutes back
available for hire
3 proposals made
age 20 years
on the service 20 days 23 hours
Rating
Successful projects
Average rating
Language proficiency level
Українська: fluent
English: intermediate
Skills and abilities
Programming
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AI & Machine Learning
from 33 USD for project
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Bot Development
from 22 USD for project
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Data Parsing
from 18 USD for project
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Databases & SQL
from 13 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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267 USD Database of PC components (Full-Stack)
Databases & SQL
Development of a comprehensive application for managing a warehouse of computer components and automating the selection of compatible parts. The project includes creating the database architecture from scratch, developing backend logic, and integrating with the user interface.
Main implemented tasks:
• Designing and deploying a complex relational database (19 related tables) for accounting motherboards, processors, graphics cards, RAM, etc.
… • Writing the backend part in Python for stable data processing and CRUD operations.
• Building a user-friendly interface for monitoring and managing inventory.
#Python #SQL #Backend #Database #DBMS #FastAPI #API
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11 USD Automatic file structuring and sorting script
Data Processing
Developed 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 Development
Developed 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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33 USD Telegram bot with artificial intelligence integration
Bot Development
Developed 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.
