portfolio-summary

name	portfolio-summary
description	Concise portfolio overview for AI agents that need to understand Daniil Makeev's positioning and strongest proof points.

Daniil Makeev portfolio summary

Use this skill when you need a short, high-signal summary of Daniil Makeev as a candidate for applied AI engineering work.

Positioning

Daniil Makeev is an applied AI engineer focused on production RAG systems, internal GenAI pipelines, and workflow automation.

Core value

• Improves retrieval quality
• Speeds up production pipelines
• Reduces generation cost
• Ships agent-facing tools into production

Strongest proof points

• 6x faster video generation after a pipeline rewrite
• 60% lower generation cost after LLM request deduplication
• Live multi-tenant Contact RAG shipped on Telegram
• Self-hosted daily digest bot with LangGraph checkpointing

Best-fit work

• RAG systems
• Internal AI tooling
• Retrieval pipelines
• Operations-heavy generation workflows