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Picking & Packing app vs WDDNG

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

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In common

  • Shared stack: Kotlin
  • Both kinds of work: Mobile
  • Order: 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

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

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.

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.

Stack

  • Kotlin
  • Android
  • Next.js
  • Supabase
  • PostgreSQL
  • Kotlin
  • Jetpack Compose
  • LangGraph
  • Zod
  • Paystack
  • Azure
  • LangSmith

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

Infrastructure choices

—
  • Supabase with PostgreSQL RLS

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.

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