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AI IT Support Agent - Autonomous Workflow for Internal Support- Internal IT teams are overloaded with recurring issues that repeat daily and consume time that should be spent on higher‑value tasks. To reduce this constant load, I built an autonomous AI Support Agent on Telegram using n8n, connected to a structured Airtable knowledge base to deliver instant answers, open tickets automatically, and log all interactions. This cuts repetitive workload, frees IT time, and makes internal support faster and more efficient.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Recently tried this poster type ads and seeing the CTR and engagement going higher across platforms
Interesting result. It’s a good reminder that testing different creative formats can make a noticeable difference in both CTR and engagement. Would be interesting to see how the poster-style ads perform over a longer period.
I designed and deployed advanced AI automation systems using n8n that transform business documents and customer communications into intelligent support workflows. The system processes uploaded files into a searchable knowledge base and powers web chat, email, and SMS responses using AI-driven intent detection, routing, and automation logic. Implemented human-in-the-loop escalation, analytics tracking, and reliable fallback workflows to ensure accurate, scalable customer support automation for real production environments.
Polar — Local AI Desktop Assistant
Polar is a local, privacy-focused AI desktop assistant designed around a futuristic HUD interface and system-level interaction.
The project explored how a desktop AI could understand the user's environment, process visual and voice input, and respond or perform actions without relying entirely on cloud services.
Key features:
Local AI assistant architecture
Futuristic Tauri-based desktop HUD
Screen and contextual awareness
OCR-based extraction of text from the screen
Voice interaction pipeline
AI-powered context processing and responses
System-level desktop interaction and automation
Local/offline model execution
Real-time assistant-style interface
OCR pipeline:
Screen capture → OCR → Context extraction → Local AI → Response/Action → HUD
The project combined AI, computer vision, OCR, voice interaction, desktop application development, and modern UI engineering into a single experimental personal-assistant platform.
My contribution: Architecture, application development, AI integration, OCR functionality, UI/HUD development, and system interaction.
This is beautiful