Volodymyr S.
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Offer work
Lvov,
Ukraine
7 days back
available for hire
on the service 2 months 22 days
Rating
Successful projects
Average rating
Skills and abilities
Programming
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AI & Machine Learning
from 27 USD for hour
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Bot Development
from 135 USD for project
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Data Parsing
from 16 USD for hour
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Databases & SQL
from 14 USD for hour
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Python
from 18 USD for hour
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Web Programming
from 16 USD for hour
Services
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AI Consulting
from 34 USD for hour
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Cybersecurity & Data Protection
from 27 USD for hour
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Enterprise Resource Planning (ERP)
from 23 USD for hour
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Information Gathering
from 45 USD for project
Administration
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DevOps
from 20 USD for hour
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Linux & Unix
from 14 USD for hour
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Software & Server Configuration
from 11 USD for hour
Translation
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English
from 11 USD for hour
Writing
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AI Content Creation
from 18 USD for hour
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Technical Documentation
from 9 USD for hour
Portfolio
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113 USD Referral & Task Management System: Bot for monetization and engagement
Bot Development
Main concept:
Development of an automated system for attracting subscribers (OP-traffic) through a reward mechanism. The bot encourages users to subscribe to target channels and invite friends in exchange for a virtual balance with the possibility of withdrawing funds.
Functional capabilities:
…
Subscription verification system (OP-Subscribe): The bot automatically checks the subscription status to a list of channels before awarding rewards.
Multi-level referral system: Generation of unique links and automatic awarding of bonuses for each invited user.
Financial module: A system for processing withdrawal requests (Privat24, Monobank, USDT TRC-20) with instant notification to the administrator.
Global statistics: A module for tracking the total number of users and cash flow in real-time.
Technical features:
Stack: Python (aiogram 3.x) — asynchronous operation with a large number of requests.
Database: SQLite3 for reliable storage of balances and referral links.
FSM (Finite State Machine): Managing user states during the input of payment details.
Security: Protection against self-referral and built-in logic for checking administrator rights.
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338 USD Enterprise Anti-Scam System: Aggregator of 11+ security services and A
Python
Project Description
Main Concept:
Development of a high-load ecosystem to protect users from digital fraud in Ukraine. The system provides cascading real-time verification of objects through integration with leading global cybersecurity services.
… Key Functionality:
Multi-API Aggregation: Simultaneous verification through 11+ independent sources (VirusTotal, Google Safe Browsing, AbuseIPDB, PhishTank, and others).
Intelligent Risk Score: Proprietary risk assessment system (0–100 points) based on a combination of reputation databases, technical parameters of domains, and AI analysis.
Comprehensive OSINT Search: Automated verification of Ukrainian phone numbers, SMS messages, email addresses, and websites for phishing and data leaks.
AI Phishing Detector: A machine learning-based module for analyzing message text for signs of social engineering (UA/RU/EN).
Technical Specifications and Architecture:
Backend: Built on an asynchronous Python stack (aiogram 3.x) to ensure instant system response.
Infrastructure: Full containerization using Docker and Docker Compose.
Data Management: Use of PostgreSQL for storing logs and Redis for efficient caching of results, reducing API load by ~70%.
Performance: The full cycle of deep verification of an object is completed in just 5–6 seconds.
Scalability: The architecture is ready for horizontal scaling and processing requests from 1,000,000 users.
Result:
A stable production-ready open-source solution has been created, demonstrating skills in building complex enterprise systems and deep expertise in cybersecurity.
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147 USD Smart AI bot on aiogram 3 with Docker containerization
Python
Project Goal: Development of an asynchronous Backend solution for a Telegram bot capable of operating reliably 24/7 and handling a large number of requests.
Solution Description: A bot has been developed based on the latest aiogram 3.x library, which ensures maximum data processing speed. A State Machine (FSM) has been used to manage complex conversation scenarios. The bot is integrated with a database for reliable storage of applications (leads).
… Key Technical Skills Demonstrated in the Project:
Python (aiogram 3): Writing asynchronous, clean code (visible in the screenshot).
Docker: The project is containerized, ensuring easy deployment on any server and stability of operation.
Database Integration: Designing the database structure for storing applications.
AI Integration (Optional): Demonstrated readiness for implementing OpenAI for intelligent processing of requests (the logic is visible in the handlers).
Result: The client received a reliable, scalable automation tool that is ready for real workloads. The bot has been successfully launched and is operational (logs are visible in the terminal in the screenshot).