Єгор

Yehor Vus
AI Automation Engineer · LLM Workflows, Integrations & Process Automation
Email: [открыть контакты](см. выше в блоке «контактная информация») | GitHub: github.com/Damaldra | Location: Nitra, Slovakia | Remote / Hybrid

SUMMARY
AI Automation Engineer who turns manual, repetitive business processes into reliable AI-powered workflows.
Hands-on experience building automations and AI agents on n8n with LLMs (GPT), prompt engineering and RAG —
integrating real business tools (email, messengers, spreadsheets, CRMs, APIs) end to end. Comfortable working with
both technical and non-technical teams: I analyze how a department actually works, spot inefficiencies, ship an
automation, then document it and help the team adopt it. Self-driven and proactive, with a proven ability to learn new
tools quickly to production quality.
CORE SKILLS
Generative AI / LLM LLM integration (GPT), Prompt Engineering, LLM-based workflows, RAG, AI Agents, LLM
text classification & extraction, LLM Vision (document/image data extraction)
Automation platforms n8n (primary) — multi-step AI pipelines, agent orchestration, scheduling, error handling &
retries; transferable workflow-automation concepts (Zapier / Make)
Integrations / Tools REST APIs, Webhooks, OpenAI API, Gmail / Google Workspace, Telegram API, Airtable /
Google Sheets, databases, Git / GitHub
Programming & Data Python, JavaScript (basic), SQL (queries, joins, aggregation), Pandas / data analysis,
working with JSON & API data
Ways of working process analysis & workflow mapping, automation design, documentation & internal
guidelines, team enablement / training, monitoring & continuous improvement
Languages Ukrainian (Native), English (B1 - Intermediate)
AI / AUTOMATION PROJECTS
Daily Ukraine News Digest → Telegram (AI content pipeline)
• End-to-end AI pipeline: aggregates multiple RSS sources, deduplicates and ranks items, then uses a GPT model
with a tuned system prompt to generate a concise daily digest.
• Demonstrates LLM integration, prompt engineering, data aggregation and automated delivery (Telegram + GitHub
archive).
• Stack: n8n, OpenAI GPT, RSS, Telegram API, GitHub API.
AI Job Hunter (LLM-based matching workflow)
• Automated workflow that collects job vacancies, then applies an LLM to classify and match them against a target
profile — a practical example of LLM-driven text classification replacing manual review.
• Demonstrates data collection, structured LLM output and "business challenge → AI application" thinking.
• Stack: n8n, OpenAI GPT, REST APIs.
Resilient CRM ↔ API Integration (error-handling demo)
• Production-minded integration that handles failures gracefully: retries, error branches and a dead-letter pattern for
failed records — built for unattended operation.
• Demonstrates reliability engineering and robust data-flow design.
• Stack: n8n, HTTP / REST, error-handling patterns.
Daily AI Interview Questions (scheduled LLM content generation)
• Scheduled workflow generating daily technical content via an LLM and logging it to a repository.
• Stack: n8n, OpenAI GPT, GitHub.
EXPERIENCE
AI Automation Engineer — InterWay
February 2026 – March 2026
• Built LLM-powered automation workflows and AI agents (n8n + GPT) to streamline internal business processes.
• Implemented prompt engineering and RAG-based retrieval for text classification and data extraction tasks.
• Documented the workflows and supported team members in adopting the new AI tools in their daily work.
AI Automation Engineer — Confidential (under NDA)
October 2025 – January 2026
• Designed and delivered AI automation pipelines integrating LLMs (GPT) into real business processes.
• Applied prompt engineering, API integrations and structured LLM outputs to automate routine, repetitive
workflows.
• Monitored running automations, handled edge cases and continuously improved their reliability and performance.
EDUCATION
Sumy State University
Bachelor of IT — Computer Engineering
September 2020 – May 2024