Lavr Ovchynnikov
Offer Lavr work on your next project.
Private message
Offer work
Bucuresti,
Romania
1 day 12 hours back
available for hire
on the service 3 months 2 days
Rating
Successful projects
Average rating
Skills and abilities
Programming
Promotion
Portfolio
-
639 USD Automated Cold Outreach System: 3-stage Email Funnel
AI & Machine Learning
Developed and implemented an autonomous system for cold outreach that minimizes manual work and ensures systematic client follow-up.
How the solution works:
… Simple input: The user only needs to enter basic data (client's name, email, company name) into Google Sheets. The system takes care of everything else.
Smart logic (Multichannel logic): The use of a Switch node allows the system to clearly distribute data flows and manage the sequence of emails.
Automatic "touches" (Follow-ups): The system implements a strategy of three consecutive emails.
Timings and pauses: Thanks to Wait nodes, emails are sent with a clear interval of 4 days, which simulates natural behavior and increases the Delivery Rate.
Cyclicality (Looping): The workflow correctly processes any number of contacts in one run, without skipping any rows.
Technical stack: n8n, Google Sheets API, Gmail API, JavaScript (for custom data processing).
Result for the business: The sales manager is freed from the routine of manually sending follow-ups. The risk of "forgetting about the client" is reduced to zero — the system will reliably execute all 3 touches.
-
Certified n8n Automation Specialist (Level 1)
Web Programming
What I can implement based on n8n:
Architecture design: Creating workflows using conditional logic (IF), loops, and error handling.
… Working with data: Manipulating JSON structures, merging data from different sources through Merge and Code nodes (JavaScript).
Integrations: Setting up connections via Webhooks and REST API with any services (CRMs, Telegram bots, Google Sheets, etc.).
Execution control: Setting up scheduled runs (Cron) and monitoring the stability of automations.
#n8n #automation #workflow #backend #lowcode #api #integration
-
Intelligent Telegram bot based on n8n and LLM
AI & Machine Learning
Development of an autonomous AI agent for processing incoming messages in Telegram. The system is built on the basis of n8n and uses an agent architecture for intelligent interaction with users.
Technical implementation:
… Logic (n8n): Used Telegram Trigger for instant response to messages and Telegram Messenger node for sending replies.
AI Core (OpenRouter): Connection of language models through OpenRouter Chat Model for generating responses in Ukrainian.
Intelligence (AI Agent): Main node (AI Agent node) that ensures understanding of context and flexibility of dialogue.
Result:
A system has been created that independently answers customer questions, imitating live communication. This automates initial communication and frees up time from routine correspondence.