- 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 ⭐
loader— Rust tool for offline document chunking & embedding generationevaluate— LLM-as-a-judge framework + Python SDKmcp-qdrant— MCP Server for seamless Qdrant integration- Production infra on GCP with Docker, Nginx, SSL/TLS & OAuth



