⌖ Location Moscow, Russian Federation
⌗ Experience 2+ yrs commercial AI engineering · 5 yrs academic ML/neural networks
◎ Education NUST MISIS — MSc IT & Predictive Analytics (2024) · BSc Automated Systems (2021)
⟳ Focus Production RAG systems · Multi-agent AI orchestration · LLM infrastructure
Languages
Frontend
Backend & Databases
DevOps & Cloud
AI / ML
Claude API · Gemini API · Voyage AI · Qdrant · ChromaDB · Ollama · LiteLLM · MCP
🔹 Astra Knowledge Base (RAG) — multi-embedding system: Voyage AI 1024d + Gemini 768d, Qdrant, RRF + Voyage Rerank. 12,500+ documents, Recall@10 94%. Full pipeline: extract→chunk→embed→index→search→rerank→budget trim
🔹 AI Agent Orchestration — 26 agent types, up to 12 parallel. Model routing (Opus/Sonnet/Haiku), persistent state, MetaGlyph token optimization −37%
🔹 Worldbuilding KB — semantic search over 5 fictional universes (12,500+ chunks, 4.5M tokens). Qdrant + entity graph (NetworkX), conflict detection. Pipeline: DOCX/PDF/MD→convert→chunk→embed→store
🔹 Network Infrastructure — VPN chains (xray, Hysteria2, WireGuard), DNS-over-HTTPS via SOCKS5, Docker orchestration (Qdrant, ChromaDB, Technitium DNS), monitoring & alerting
"In the beginning was the Word, and the Word was — INDEX. Without an index, a session is the Library of Babel. With an index — O(log n) navigation across 1M context."
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