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AI Automator

Considering positions:
AI Automator, спеціаліст з ШІ, промпт-інженер 
City of residence:
Kyiv
Ready to work:
Remote

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Pavlo Kupriianov
AI Automator
Kyiv, Ukraine | [open contact info](look above in the "contact info" section) | [open contact info](look above in the "contact info" section)
[open contact info](look above in the "contact info" section) | Portfolio | Telegram: @pavlokupriianov

SUMMARY
AI Automator with a background in business analysis and QA. I build reliable workflows and integrations to reduce
manual work. At Qvantel, built a multi-agent requirements-to-delivery pipeline integrated into QA and Dev
processes, and contributed to a three-month AI mentoring initiative for colleagues.

SKILLS
Hard Skills: multi-agent orchestration (Claude Code, Copilot CLI) • MCP integration • Python/PowerShell scripting •
Confluence/Jira REST API • human-in-the-loop workflow design • LLM integration & prompt engineering • n8n
automation • REST APIs & webhooks • speech-to-text pipelines • requirements analysis & BPMN/UML
Tools: Claude Code, GitHub Copilot CLI, Git, n8n, Make.com, OpenAI API, AssemblyAI, Rovo, Microsoft Copilot,
Jira, Confluence, Postman, Google Sheets/Drive, Zoho CRM, Klaviyo, Telegram Bot API
Soft Skills: AI mentoring & knowledge sharing • analytical thinking • attention to detail • structured communication •
adaptability & self-motivation
Languages: English: Upper-Intermediate | Ukrainian: Native

PROJECT EXPERIENCE
Multi-Agent Requirements-to-Delivery Pipeline (Qvantel) | Project details
Result: Design work that took days to weeks now takes hours. Output quality rose enough to integrate the pipeline
into QA and Dev processes. Built and iterated over ~3 months (550 commits, Jul-Oct 2026), with a changelog of
failures found in live runs and the fixes made.
AI Call Classification & Analytics Agent | Project details
Built a call analysis pipeline with n8n, OpenAI API and AssemblyAI: transcription, tone/category classification and a
chat-style analytics assistant.
Result: Increased coverage from 100 to 500 calls/day; reduced staffing from 2 to 1 FTE; cut monthly cost from
$1,400 to $844 (ROI in 3 months).
AI Lead Qualification Agent | Project details
Automated lead capture, LLM-based intent scoring, Zoho CRM routing and Klaviyo sync using n8n and OpenAI API.
Result: Eliminated manual lead review; qualified leads routed instantly to CRM and email sequences.

WORK EXPERIENCE
Business Analyst | Qvantel | June 2025 - Present
• Built a multi-agent pipeline for gap analysis, HLD/LLD drafts, effort estimates and Jira tickets, with BA approvals;
reduced design turnaround from days-weeks to hours
• Separated LLM reasoning from deterministic scripts and added automated checks and tests to catch unsupported
claims; improved output quality enabled integration into QA and Dev processes
• Contributed to a three-month AI mentoring group for Qvantel's Ukrainian office, helping colleagues with AI
fundamentals, prompt engineering, Rovo, Microsoft Copilot, Claude and GitHub Copilot.
• Analyzed business processes and documented software requirements, use cases, user scenarios, acceptance
criteria and BPMN/UML diagrams.
QA Test Lead | Ericsson | July 2022 - June 2025
• Led a QA team of 4 through 30+ deployments; validated business workflows, user acceptance scenarios,
regression and build quality.
• Created test cases and checklists for functional behavior and edge cases; verified integrations and API responses
using Postman.

EDUCATION
IT School GoIT - AI Automator Program, 2026
Business Analyst Course (Prometheus / Lifecell) - completed with honors, Jan-Feb 2025
National Aviation University, Kyiv - Master's Degree, Telecommunications Systems and Networks, 2014-2020

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