About me
Brian Bawuah
Product engineer with a human-centred focus. I build AI products at the intersection of engineering, design, and the user.
How I work
I started LAB-BAWUAH because the best digital products emerge where engineering, design, and the user meet, and that intersection rarely survives three vendor handoffs. End-to-end product engineering keeps the human side alive at every layer instead of leaving it for whoever ships last.
Background
Years of frontend and platform work in enterprise environments. Most recently embedded inside a high-assurance customer building a multi-modal AI platform: video and audio intelligence, document RAG, semantic search, and language services. That experience shapes how LAB-BAWUAH now works with other teams building serious AI products.
Tools and stack
Elasticsearch (hybrid BM25 + vector, RRF, semantic templates), llama.cpp / llama.rn with Gemma and other quantized open-weight models, ArgoCD on Kubernetes, React / React Native, and security-hardened SSR with strict CSP. TypeScript everywhere there's a UI.
Outside work
Chelsea FC and Ajax. LEGO. Writing about systems with less hype and more clarity. See the articles for that side.
Engagements
LAB-BAWUAH is a one-person consultancy. If you've got an AI product to build, wherever it lives, get in touch.