Lead Engineer building production agentic systems 🤖
I design and build the AI backend behind a RAG-based advisory platform
- Multi-agent architectures — LangGraph-based expert routing, management agents, and domain-specific sub-graphs
- Retrieval pipelines — vector search (Qdrant), reciprocal rank fusion, reranking, multi-hop retrieval
- Production AI infrastructure — async streaming (FastAPI + SSE), OpenTelemetry tracing, Azure OpenAI integration
- Domain-driven AI — modelling complex legal and regulatory knowledge as navigable agent expertise
Python · FastAPI · LangGraph · LangChain · Qdrant · Azure OpenAI · PostgreSQL · Redis · OpenTelemetry · Docker
- Advanced retrieval strategies (multi-hop reasoning, adaptive chunking)
- Agent evaluation frameworks and benchmarking
- Cost-aware LLM orchestration patterns



