Mawu · Independent AI Practice
More than a decade building agentic and machine-learning systems — most recently at national scale in healthcare. Available for architecture, implementation, and advisory work with teams in regulated industries and the public sector.
Capabilities
Multi-agent architectures, tool and API integration, orchestration, and LLM routing — with the evaluation harness that keeps them reliable once they are carrying real work.
RAG pipelines, embeddings and reranking, model serving and inference, and the vector and graph data layers underneath them.
Taking a prototype the rest of the way: deployment, observability, cost and latency control, and continuous delivery for models.
Tenant isolation, access controls, audit trails, and responsible-adoption practices that hold up under HIPAA, CMS, and public-sector constraints.
Connect Claude to how your team already works — your tickets, your repos, your infrastructure, your roadmap — so it operates with real context from day one, then build the habit of working with it from there.
Selected work
Built and operated end to end for legal case work: agent orchestration, self-hosted model serving behind a routing layer, retrieval infrastructure, and a graph-based entity-resolution layer — multi-tenant, with strict data isolation between clients.
Architected an AI document-intelligence platform on AWS for a national managed-care organization. Cut turnaround on a core document workflow from roughly three days to under five minutes.
More than a decade delivering mission-critical middleware and integration platforms for the State of Missouri and the City of St. Louis under formal statements of work, at the uptime and security bar public operations require.
Cloud, DevOps, and ML-infrastructure engagements embedded inside Fortune 50 healthcare clients, from discovery through production, 2018–2021.
Engagement models
An architecture or implementation engagement under a statement of work. Fixed outcome, defined timeline.
Ongoing part-time capacity as your AI architect — a set number of days each month, inside your team.
A retainer for architecture review, technical strategy, and second opinions — without the day-to-day build.
Who you're working with
Pierre Kpodar founded Mawu in 2015. Through 2026 he led machine-learning and cloud engineering at a national managed-care organization, owning production LLM systems in a HIPAA- and CMS-governed environment. Before that: senior consultant at Slalom, and technical lead on edge computer-vision systems for utility infrastructure.
AWS Certified Solutions Architect. Based in St. Louis; works remotely and on-site. English and French.
Get in touch
Tell me about the system you're trying to build, or the decision you're trying to make. I'll tell you plainly whether I can help.
pierre@mawu.io