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CV Coach vs WDDNG vs Picking & Packing app

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: CV Coach (2025 – present) → Picking & Packing app (2025 – 2026) → WDDNG (Jan 2026 – present)

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CV Coach ›

AI CV analysis, job matching and tailored applications

WDDNG ›

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

Picking & Packing app ›

A Kotlin warehouse app for fulfilment teams

At a glance

Role
Founder / Lead Engineer
When
2025 – present
Length
1 yr 9 mo so far
Status
MVP
Type
AI, Web
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

The problem

A Chrome extension captures job ads; a LangGraph workflow parses the CV and the ad, scores the match and drafts tailored cover letters and CV revisions.
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.

What was built

A Chrome extension captures advertisements, stores them in PostgreSQL and queues analysis. The platform compares a CV with a job description, produces a structured match score and generates tailored cover letters and CV revisions.
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.
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Stack

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

Highlights

  • LangGraph workflow with custom tools to parse, compare evidence and score the match
  • Asynchronous analysis pipeline
  • 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

Infrastructure choices

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  • Supabase with PostgreSQL RLS
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Outcome

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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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