| 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
