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WDDNG vs Picking & Packing app 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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WDDNG ›

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

Picking & Packing app ›

A Kotlin warehouse app for fulfilment teams

Joel Transport ›

Online booking platform on AWS

At a glance

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

The problem

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.
An Android app that drives picking and packing for warehouse and fulfilment operations.
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

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

Highlights

  • 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
  • Led architecture and development
  • Built in Kotlin for warehouse floor use
  • 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.

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