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AI Automation Engineer
- Considering positions:
- AI Automation Engineer, Data scientist, Python-програміст, монтажер відео, інженер комп'ютерних систем, спеціаліст з впровадження, UI-дизайнер, кодер, Motion-дизайнер
- Age:
- 23 years
- City of residence:
- Kyiv
- Ready to work:
- Remote
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Danil Krutov
AI Engineer — LLM · RAG · AI Agents · Automation
Warsaw, Poland (Ukrainian) · Remote | [open contact info ](look above in the "contact info" section) | github.com/lunev51 | [open contact info ](look above in the "contact info" section)
SUMMARY
AI engineer who builds production LLM systems end-to-end — architecture, code, deploy, support. 15+ automation
projects shipped solo since 2024, including four production systems (RAG, vision/OCR, agents, autonomous publishing)
running on real business data. Automation that survives production: rate limiting, idempotency, retries, structured outputs
and cost control by default.
EXPERIENCE
Freelance AI / Automation Engineer 2024 — Present · Remote
Solo, end-to-end delivery for a long-term client (cosmetics manufacturing, under NDA) and small businesses.
Invoice-to-ERP Pipeline — Claude extracts line items from supplier invoices (PDF / scan / photo); Qdrant vector search
matches them against a 4,000-SKU catalog (OpenAI embeddings + fuzzy matching + LLM-as-judge); orders land in 1C ERP in
one click.
Payroll Vision Bot — reads ~200 handwritten payroll sheets per batch with Claude (vision + structured outputs), replacing a
full day of manual entry; custom RPM/ITPM rate limiter and idempotent recovery — nothing lost, nothing duplicated.
Autonomous SMM Engine — Claude generates branded content and publishes to Instagram / Threads / Facebook via the
Meta Graph API, with human-in-the-loop approval.
Agent Workflows — LangChain agent with a Qdrant retrieval tool for cost calculation; Telegram shipment-parser bot; n8n
where it's fast, custom Python / Node where n8n breaks.
15+ earlier projects for small businesses: AI Telegram bots, n8n / API workflow automations, integrations and content
pipelines.
SELECTED PROJECT — OPEN SOURCE
Recipe-costing agent — Claude + Qdrant vector search over 9,285 materials; cuts an estimate from ~30 min to ~30 s at
~$0.05 per run. Fuzzy names → vector retrieval → LLM-as-judge. Code & write-up: github.com/lunev51
TECHNICAL SKILLS
Languages Python, Node.js, JavaScript
LLM / AI Claude & OpenAI APIs, RAG (Qdrant, embeddings), LangChain, AI agents, prompt engineering,
structured outputs, LLM-as-judge, Vision / OCR
Backend / Integrations FastAPI, REST, webhooks, Telegram Bot API, Meta Graph API, Google Sheets API, 1C ERP, serverless
(Vercel)
Automation / Tooling n8n, Claude Code (daily), Git
Reliability rate limiting, idempotency, retries, token / cost control, HITL approval flows
E D U C AT I O N L ANGUAGES
Sumy State University (SumDU) English — B1 (all code & written work in English)
Ukrainian — Native (C2)
AI Engineer — LLM · RAG · AI Agents · Automation
Warsaw, Poland (Ukrainian) · Remote | [
SUMMARY
AI engineer who builds production LLM systems end-to-end — architecture, code, deploy, support. 15+ automation
projects shipped solo since 2024, including four production systems (RAG, vision/OCR, agents, autonomous publishing)
running on real business data. Automation that survives production: rate limiting, idempotency, retries, structured outputs
and cost control by default.
EXPERIENCE
Freelance AI / Automation Engineer 2024 — Present · Remote
Solo, end-to-end delivery for a long-term client (cosmetics manufacturing, under NDA) and small businesses.
Invoice-to-ERP Pipeline — Claude extracts line items from supplier invoices (PDF / scan / photo); Qdrant vector search
matches them against a 4,000-SKU catalog (OpenAI embeddings + fuzzy matching + LLM-as-judge); orders land in 1C ERP in
one click.
Payroll Vision Bot — reads ~200 handwritten payroll sheets per batch with Claude (vision + structured outputs), replacing a
full day of manual entry; custom RPM/ITPM rate limiter and idempotent recovery — nothing lost, nothing duplicated.
Autonomous SMM Engine — Claude generates branded content and publishes to Instagram / Threads / Facebook via the
Meta Graph API, with human-in-the-loop approval.
Agent Workflows — LangChain agent with a Qdrant retrieval tool for cost calculation; Telegram shipment-parser bot; n8n
where it's fast, custom Python / Node where n8n breaks.
15+ earlier projects for small businesses: AI Telegram bots, n8n / API workflow automations, integrations and content
pipelines.
SELECTED PROJECT — OPEN SOURCE
Recipe-costing agent — Claude + Qdrant vector search over 9,285 materials; cuts an estimate from ~30 min to ~30 s at
~$0.05 per run. Fuzzy names → vector retrieval → LLM-as-judge. Code & write-up: github.com/lunev51
TECHNICAL SKILLS
Languages Python, Node.js, JavaScript
LLM / AI Claude & OpenAI APIs, RAG (Qdrant, embeddings), LangChain, AI agents, prompt engineering,
structured outputs, LLM-as-judge, Vision / OCR
Backend / Integrations FastAPI, REST, webhooks, Telegram Bot API, Meta Graph API, Google Sheets API, 1C ERP, serverless
(Vercel)
Automation / Tooling n8n, Claude Code (daily), Git
Reliability rate limiting, idempotency, retries, token / cost control, HITL approval flows
E D U C AT I O N L ANGUAGES
Sumy State University (SumDU) English — B1 (all code & written work in English)
Ukrainian — Native (C2)
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