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Picking & Packing app vs WDDNG vs Joel Transport

The problem, what was built, the stack and the outcome, next to each other.

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In common

  • Shared stack: none in common
  • Order: Joel Transport (Dec 2022 – May 2023) → Picking & Packing app (2025 – 2026) → WDDNG (Jan 2026 – present)

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Picking & Packing app ›

A Kotlin warehouse app for fulfilment teams

WDDNG ›

South Africa's wedding marketplace, with two apps on Google Play

Joel Transport ›

Online booking platform on AWS

At a glance

Role
Lead, Smart Kitchen Co
When
2025 – 2026
Length
1 yr
Status
Delivered
Type
Mobile
Role
Founder / Full-stack & Mobile Engineer
When
Jan 2026 – present
Length
10 mo so far
Status
Live
Type
AI, Mobile, Web
Role
Lead Engineer
When
Dec 2022 – May 2023
Length
6 mo
Status
Live
Type
Web, Platform

The problem

An Android app that drives picking and packing for warehouse and fulfilment operations.
South African couples plan across fragmented directories, WhatsApp messages and opaque “price on request” listings, while many international tools don't support local multi-ceremony wedding journeys.
Centralised the customer journey and operational data, reduced manual hand-offs and set up a documented AWS foundation.

What was built

—
A Next.js and Supabase marketplace with two Kotlin / Jetpack Compose Android apps on Google Play: one for couples, one for vendors. Thuli, the AI planner, is a LangGraph supervisor coordinating 16 specialist agents.
Led architecture and hands-on engineering for an online booking platform: Python APIs and the AWS deployment architecture, integrated with Paystack, Sage Accounting, Zoho Bigin and Zoho SalesIQ.

Stack

  • Kotlin
  • Android
  • Next.js
  • Supabase
  • PostgreSQL
  • Kotlin
  • Jetpack Compose
  • LangGraph
  • Zod
  • Paystack
  • Azure
  • LangSmith
  • Python
  • AWS
  • Paystack
  • Sage
  • Zoho

Highlights

  • Led architecture and development
  • Built in Kotlin for warehouse floor use
  • Two Kotlin / Jetpack Compose Android apps published on Google Play
  • Thuli: a LangGraph supervisor coordinating 16 specialist agents through Zod-typed handoff tools
  • Per-agent model selection, token metering and LangSmith tracing
  • SSE streaming that renders vendor cards and progress during an answer
  • Python APIs and AWS deployment architecture
  • Paystack, Sage Accounting, Zoho Bigin and Zoho SalesIQ integrations

Infrastructure choices

—
  • Supabase with PostgreSQL RLS
  • AWS

Outcome

—
The marketplace runs across web and two production Android apps, giving couples structured planning tools and vendors better-qualified enquiries with date, budget and guest-count context.
Centralised the customer journey and key operational data, reduced manual hand-offs and established a documented AWS foundation for future development.