Volodymyr Iavorskyi
Offer Volodymyr work on your next project.
3 months 8 days back
age 31 years
on the service 1 year
Rating
Language proficiency level
Skills and abilities
Programming
Services
Photo, Audio & Video
Promotion
Mobile development
Administration
Outsourcing & consulting
Portfolio
-
Automatic research, summarization, and distribution (n8n + LLM + GitHub)
An automated workflow has been implemented for monitoring trending GitHub repositories and generating structured digests.
The system includes:
… • Daily execution on schedule (Schedule Trigger)
• Analysis of push activity for 24h / 30d
• Filtering of already processed repositories
• Retrieval of README and metadata via GitHub API
• AI summarization and description generation (LLM)
• Automatic translation into English
• Formatting Markdown → HTML
• Automatic email distribution
• Creation of files in GitHub
The workflow operates as an autonomous trend selection system: from raw data collection to a ready AI digest with multilingual support.
-
AI Deep Research Automation - n8n + OpenAI + Notion
A complex multi-level workflow for automated deep research has been implemented.
The system includes:
… • Generation of SERP queries and iterative search
• Web scraping via headless browser
• Filtering and validation of results
• AI content analysis (OpenAI)
• Deep Research logic for achieving research goals
• Automatic generation of structured reports
• Formatting HTML → JSON blocks
• Automatic upload to Notion
The workflow operates as an autonomous AI analyst: from task setting to a finished structured document.
-
Full automation of work with Reddit (CRUD + Routing)
A modular automation system has been implemented in n8n with a centralized trigger and request routing logic.
The workflow includes:
… • Post CRUD – creating, retrieving, searching, and deleting posts
• Comment CRUD – creating, replying, retrieving, and deleting comments
• Subreddit operations – retrieving information about the subreddit, rules, and post lists
• Switch logic for routing operations
• Scalable architecture with stream processing separation
The system is built as a universal backend layer for integrations via API with the ability to extend to other social platforms.