AndishiAndishiAndishi
AI / LLM / Full-Stack
AI Product Engineer. Kwame builds production AI workflows with evaluation, retrieval, and cost controls. He is a strong fit for teams turning LLM prototypes into product features.
Profile
My AI work sits close to product engineering: retrieval quality, latency, cost, user feedback loops, and safe deployment. I prefer measurable systems over impressive demos.
I have helped teams move from notebooks and proof-of-concepts into APIs, background jobs, and interfaces that real users can depend on.
01
Built a RAG support assistant with source attribution and evaluation traces.
02
Reduced LLM workflow costs by 37% through caching and model routing.
03
Designed guardrails for a document automation product serving legal teams.
Experience
AI Product Engineer
2024-2026
Backend Engineer
2021-2024
Python Engineer
2018-2021
Vetting completed
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