Aspiring AI & Automation Engineer focused on building workflow automations and AI-driven agent systems that streamline lead generation and business processes. Experienced with n8n, Zapier, APIs, and prompt engineering to create reliable multi-step integrations.
I have built lead qualification and executive appointment workflows using AI intake funnels, multi-channel nurturing (email/Telegram), structured outputs, and routing logic (Hot/Warm/Cold). I’m seeking an internship/trainee/junior role to deliver value and grow into enterprise-grade automation and AI engineering.
Skills
Experience Level
Work Experience
Education
Qualifications
Industry Experience
- AI-powered community support using Large Language Models (LLMs)
- Automated ticket creation and status tracking
- Smart message routing based on user intent
- Moderator notifications for complex or high-priority issues
- Knowledge-base responses using Retrieval-Augmented Generation (RAG)
- Automated logging of conversations and support history
- Slack notifications for internal team collaboration
- Workflow automation for issue escalation and resolution
- Members submit questions or support requests in Telegram.
- AI analyzes the request and responds using the project’s knowledge base.
- Requests requiring human attention are automatically converted into support tickets.
- Tickets are categorized, assigned, and tracked through stages such as Collecting, Ready for Review, In Progress, and Resolved.
- Moderators receive Slack notifications and manage the issue until completion.
- All interactions are logged to maintain a complete support history and improve future responses.
- n8n
- Telegram Bot API
- OpenAI / Claude
- Pinecone (Vector Database)
- Airtable
- Slack
- REST APIs
- AI Agents
- RAG (Retrieval-Augmented Generation)
Designed and built an AI-powered community operations system that automates support, moderation, and member management for Telegram communities. The solution reduces manual workload by intelligently routing conversations, tracking support requests, and notifying moderators when human intervention is required.
Key Features
Workflow
Technology Stack
Outcome
Built a scalable AI community operations workflow capable of handling routine support requests automatically while ensuring complex issues are seamlessly escalated to human moderators. The system is designed to improve response times, enhance community engagement, and reduce operational overhead for Web3, SaaS, and online communities.
- Instant lead capture from Facebook Lead Ads
- AI-powered lead qualification
- Automatic contact management
- CRM integration
- WhatsApp and email follow-up automation
- Appointment booking workflow
- Reduced manual data entry through end-to-end automation
- n8n
- OpenAI
- Facebook Lead Ads
- Airtable
- Google Sheets
- Calendly
Designed and demonstrated an AI-powered Speed-to-Lead automation system that instantly captures Facebook Lead Ads and routes prospects through an automated qualification workflow.
Features
Tech Stack
This project demonstrates how businesses can reduce lead response time from several minutes or hours to near real-time while improving lead management through AI automation.
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