Generative AI that actually works

Retrieval-augmented generation that tells the truth

Hallucinations kill trust. I build RAG pipelines with grounded retrieval, source attribution, and evaluation frameworks so generated answers are accurate, traceable, and useful.

• Chunking, embedding, and vector store design
• Reranking, citations, and answer grounding
• Continuous evaluation and feedback loops

Agents that get things done

I design autonomous and semi-autonomous agents with clear tool boundaries, observability, and human-in-the-loop controls. The result is AI teammates that are reliable enough to delegate real work.

• Planning, reasoning, and tool-use architecture
• Multi-modal input and output pipelines
• Safety guardrails and approval workflows

Fine-tuning with purpose

I help you decide when fine-tuning is worth it — and when prompt engineering or retrieval is the smarter path. When fine-tuning wins, I execute efficient training runs with proper evals and safe deployment.