AI application developer — RAG & agents
- £90-£133/hr
- Occasional
- 5 years
- RAG pipelines
- LLM evals & guardrails
- Chatbot development
- LLM API integration
- Supabase
- Vector search & embeddings
- Prompt engineering
Portfolio site
example.test/chiara-okafor-2 (opens in a new tab)
Hosted elsewhere. We link to it but never read it, so it does not feed matching.
Projects 3
Documentation assistant
Part of a team of three
RAG over 4k support articles with a 120-case eval set. Answer accuracy 71% → 89% after chunking and reranking changes.
- rag
- prompt-engineering
- llm-integration
- supabase
Support bot with guardrails
Contract developer
Refusal and escalation rules so the bot declines policy questions instead of inventing answers.
- llm-evals
- rag
- supabase
- chatbots
Documentation assistant (second engagement)
Sole developer
RAG over 4k support articles with a 120-case eval set. Answer accuracy 71% → 89% after chunking and reranking changes.
- llm-evals
- chatbots
- supabase
- rag
About
Retrieval systems that can be evaluated rather than demoed. pgvector on Supabase, LLM APIs, retrieval tuning, and an eval harness so improvements are provable. I care about refusal behaviour as much as recall.