Halyna Zhupnyk's Work | Contra
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Halyna Zhupnyk
AI Automation Specialist | n8n, AI Agents, CRM
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Ivano-Frankivsk, 76000
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Ivano-Frankivsk, 76000
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AI Document Intelligence Hub & Smart Visual CRM Problem: Client lost 15 mins/file manually entering data, causing messy Google Drives, lost candidates, and missed legal risks. Solution: Built an automated n8n + LLM pipeline that: • Extracts Data: AI reads PDFs (CVs, invoices, contracts) to pull key metrics. • Organizes Files: Auto-renames Drive files (e.g., [CV]-Name.pdf). • Notion CRM: Syncs data to visual Kanban boards with risk tags. • Slack Alerts: Pings teams about top candidates or high-risk terms. Impact: Slashed processing to 15 seconds/file with 100% automated risk detection.
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Smart Routing & SLA Control for B2C Online School Goal: Eliminate manual support ticket sorting and prevent breached SLA deadlines. Solution: Built an autonomous n8n agent using OpenAI to instantly categorize Gmail tickets, calculate exact response deadlines, and assign owners. Designed a custom SLA Watcher that monitors queues 24/7 and triggers a 3-level escalation in Slack if a ticket is overdue. Impact: Reduced manual sorting time from 30 minutes to 0. Ensured 100% SLA compliance and zero lost VIP tickets.
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LeadOps Pipeline & AI Analytics Goal: Automate lead qualification, scale QA coverage from 15% to 100%, and eliminate 3 hours of manual weekly reporting. Solution: Designed a multi-agent n8n architecture with autonomous tool-calling and Redis memory. Built 3 AI personas: an empathetic Sales Agent capturing Zoho CRM leads, a strict QA Inspector analyzing chat histories into Google Sheets, and a Monitoring Agent delivering Telegram summaries. Impact: Saved 45+ team hours monthly. Increased conversions by 35% via 2-second AI responses. Cut reporting time from 3 hours to under 1 minute.
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AI Lead Router & Qualifier — B2C Online School Goal: Eliminate manual support ticket sorting and prevent breached SLA deadlines. Solution: Built an autonomous n8n agent using OpenAI to instantly categorize Gmail tickets, calculate exact response deadlines, and assign owners. Designed a custom SLA Watcher that monitors queues 24/7 and triggers a 3-level escalation in Slack if a ticket is overdue. Impact: Reduced manual sorting time from 30 minutes to 0. Ensured 100% SLA compliance and zero lost VIP tickets.
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