Artem Riabov
n8n Automation Engineer · AI Workflows · Systems Integration
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Building an Autonomous AI-Driven Recruitment & Data Pipeline.
I developed this complex n8n system to automate data processing at scale. Unlike simple triggers, this workflow handles large datasets through intelligent looping, custom JavaScript logic, and real-time AI decision-making.
Key Technical Highlights:
Data Orchestration: Complex SQL queries with automated results processing.
AI Integration: Utilizing LLMs within loops to analyze and categorize data dynamically.
Custom Logic: Implemented JavaScript nodes for advanced data transformation and XLSX report generation.
Scalability: Built-in "Wait" and "Loop" mechanisms to handle high-volume processing without system overload.
The Result: A fully autonomous pipeline that replaces hours of manual data entry and analysis with a 100% accurate, AI-powered system.
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Prevent business downtime with real-time infrastructure monitoring.
I developed this robust n8n solution to solve the problem of unpredictable power outages and server downtime. The system constantly pings critical infrastructure and triggers instant alerts when a failure is detected.
The Tech Stack:
n8n: The brain of the operation, managing real-time triggers.
PostgreSQL: Reliable historical logging of every outage event for ROI/downtime analysis.
Telegram/Slack: Instant notifications delivered to the team within seconds of an incident.
The Result: 100% visibility into infrastructure stability. This system allows remote teams to react instantly to power failures, protecting hardware and minimizing operational losses.
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Transforming raw metrics into clear profitability insight.
I built this custom n8n workflow to solve the challenge of tracking ROI across complex marketing campaigns or operational processes. The bot automatically aggregates data from key sources (like Google Sheets, Stripe, or marketing APIs), calculates performance metrics, and delivers instant reports.
The Stack:
n8n: The automation engine.
Google Gemini AI: For automated insight generation from raw data.
PostgreSQL: Reliable database for historical data logging.
Slack/Telegram Bot: For automated, instant delivery of ROI reports to stakeholders.
The Result: A fully hands-off financial intelligence system that saves dozens of hours of manual calculation weekly, providing 100% accurate, real-time profitability visibility for decision-makers.
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Transforming raw news data into ready-to-use content with n8n and AI.
I built this automation to solve the problem of information overload. The engine constantly monitors Telegram channels, RSS feeds, and Google News for specific keywords.
The Stack:
n8n: The orchestration engine.
Google Gemini AI: For intelligent summarization and sentiment analysis.
PostgreSQL: For reliable long-term data archiving.
Telegram Bot: For instant delivery of curated reports.
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