I help teams add reliable RAG, AI-agent, and tool-calling capabilities to existing products or build them as standalone services.

This service is for products that need AI to do more than return a generic chatbot response. The system can retrieve information from your own data, call APIs or internal tools, follow multi-step workflows, and return structured results that your application can use.

The engagement include:

• Use-case and architecture planning • Document and data-ingestion pipelines • Chunking, embeddings, and metadata design • Vector database setup • Semantic or hybrid search • Re-ranking and retrieval improvements • Agent and tool-calling workflows • Structured LLM outputs • API and product integration • Evaluation, tracing, and error handling • Deployment and production monitoring

I focus on making the AI system understandable and maintainable, with clear boundaries between retrieval, model reasoning, tools, and the rest of your application.