Nairobi · Remote-friendly · Production AI
AI Engineer forautomation webapps.Operations-tested.
I build automation webapps and LLM agents for operations-heavy environments. Most recently WaybillAgent (Anthropic hackathon, top ~500 of 13,000+). 50+ enterprise POS/WMS deployments give me the domain depth to build AI that works in the real world.
Featured work
Flagship case studies—agents, vision, and full-stack delivery—with clear problems, architecture, and outcomes
WaybillAgent
Walk the warehouse, Claude does the audit.
WaybillAgent transforms warehouse auditing from a multi-day manual process into an AI-assisted guided walk using phone capture and agentic reconciliation—flagship build for Anthropic's Built with Opus 4.7 hackathon (selected top ~500 of 13,000+ applicants).
AssetZen
AI-assisted asset operations for enterprise teams.
AssetZen is an operations-focused product direction for streamlining asset visibility, issue tracking, and decision workflows with AI-assisted actions.
Why work with me
Production AI + enterprise systems for global teams—deep GitHub activity, production rollouts, not just demos
Agents & LLM systems
Claude (managed agents), tool use, MCP, RAG, multi-model orchestration, evals—production patterns, not demo wrappers.
Enterprise systems
POS, WMS, ERP (HR/Payroll/Accounting), M-Pesa integration—multiple production deployments across East Africa.
Domain depth & AIDC
Barcode, RFID, warehouse ops, offline-first architecture—real operational edge cases, not slide decks.
Skills & stack
AI-first capabilities for hire or contract—backed by operations domain depth
- • Claude API, managed agents, and long-horizon agent workflow design
- • MCP tooling and multi-step orchestration
- • RAG pipelines, grounding, and retrieval quality
- • Multi-model orchestration and cost optimization
- • Vision / OCR in messy real-world captures
- • Production evals and reliability patterns
- • Next.js 14+, React 18, TypeScript
- • Supabase/PostgreSQL with RLS and pgvector
- • POS, WMS, and ERP systems with repeated production rollouts
- • M-Pesa and payment integrations
- • Multi-tenant SaaS and white-label platforms
- • Offline-first architecture for field ops
- • Barcode, RFID, and AIDC process literacy
- • HR, Payroll, Inventory, and Production modules
- • Warehouse operations and logistics automation
- • East African enterprise rollouts across multiple sectors
- • Remote-first delivery for global teams
Live sites
Selected production URLs and GitHub repos. For OSS, WMS, and agent case studies, use the work index.
E-commerce — fresh produce and delivery.
Company site — AIDC consulting and enterprise systems.
Photography portfolio (Canada).
This site — AI engineer positioning and case studies.
AI-assisted warehouse audit workflow (hackathon flagship).
Asset operations product surface.
Flower & herb traceability — grower, lot, and chain-of-custody workflows.
Live build updates
Launches, architecture notes, and hiring signals on LinkedIn; public code and demos on GitHub—no synthetic feeds.
View LinkedInFAQ
AI engineering delivery, reliability, remote collaboration, and how engagements run
Still deciding?
Email a short brief: problem, stack, timeline, and success metric—I'll reply with a realistic path.
Email JosephLet's build or hire
Open to AI engineering roles (remote or hybrid) and selective consulting for US, EU, and emerging-market teams. Share your stack, timezone overlap, timeline, and what “done” looks like.
Download resume
Start an AI Engineering Conversation
Share your product goals and context below. When you are done, pick one: send the inquiry straight to my inbox, or open WhatsApp with everything prefilled so you can send it there.