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🤖 AI & ML

  • Building RAG pipelines with Qdrant vector DB, FastEmbed, and 'evaluate' LLM-as-a-judge evaluation
  • Developed mcp-qdrant — an MCP Server for vector database integration
  • Experience with Claude, OpenAI, Gemini & Ollama APIs
  • Published 'evaluate' Python SDK on PyPI
  • Member of Qdrant Stars ⭐

🦀 Recent Work

  • https://jobstr.work/ structured recruitment listings with native MCP
  • loader — Rust tool for offline document chunking & embedding generation
  • evaluate — LLM-as-a-judge framework + Python SDK
  • mcp-qdrant — MCP Server for seamless Qdrant integration
  • Production infra on GCP with Docker, Nginx, SSL/TLS & OAuth

🛠️ Stack

Rust Python Docker GCP PostgreSQL Flask

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